Biomedical Applications Patents (Class 382/128)
  • Patent number: 12027267
    Abstract: An information processing apparatus is configured to acquire case information containing first information that is information on a feature of a case of a patient and that is obtained as a result of a diagnosis of the patient and determine, based on the first information that is the information contained in the case information, whether the case information is used as training data for machine training.
    Type: Grant
    Filed: December 2, 2019
    Date of Patent: July 2, 2024
    Assignee: Canon Kabushiki Kaisha
    Inventors: Toru Kikuchi, Kiyohide Satoh
  • Patent number: 12027270
    Abstract: A method training an AI model in disease identification establishes a disease identifying model, the model includes a convolutional neural network and a pyramid attention network. The pyramid attention network receives output of the convolutional neural network. The method obtains feature map sample set, the sample set being classified into training sets and verification sets. The method inputs each training set into the disease identifying model to train the model and outputs values of degree of confidence in correct identification of diseases. The method further verifies the trained models according to the verification sets. An electronic device and a non-transitory storage medium are also disclosed.
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: July 2, 2024
    Assignee: Fulian Precision Electronics (Tianjin) Co., LTD.
    Inventor: Yu-Jen Wang
  • Patent number: 12027272
    Abstract: The present disclosure provides a system for predicting diabetic retinopathy progression. The system includes an image-capturing module and a processing unit. The image-capturing module is configured to capture a first fundus image of a user at a first time and a second fundus image of the user at a second time different from the first time. The processing unit is configured to receive the first fundus image and the second fundus image, compare the first fundus image and the second fundus image and indicate a difference between the first fundus image and the second fundus image. The processing unit is also configured to provide a prediction in a diabetic retinopathy progression of the user based on the difference. A method for predicting diabetic retinopathy progression is also provided in the present disclosure.
    Type: Grant
    Filed: June 24, 2021
    Date of Patent: July 2, 2024
    Assignee: TECHEVERST CO., LTD.
    Inventors: Hui-Yang Huang, Meng-Tsung Lo, Victoria Y. Wang, Pa-Chun Wang
  • Patent number: 12026935
    Abstract: An image processing method includes generating a first augmented image by applying first data augmentation on an input image, generating a second augmented image by applying second data augmentation on the input image, generating a first output by inputting the first augmented image to a neural network, generating a second output by inputting the second augmented image to the neural network, calculating an output difference indicating a degree of difference between the first output and the second output, and updating a weight coefficient of each layer of the neural network based on the output difference.
    Type: Grant
    Filed: January 5, 2022
    Date of Patent: July 2, 2024
    Assignee: OLYMPUS CORPORATION
    Inventor: Jun Ando
  • Patent number: 12022991
    Abstract: An endoscope processor or the like is provided which has a high ability to detect lesions. The endoscope processor includes an image acquisition unit that acquires a captured image taken by an endoscope, a first image processing unit that generates a first processed image based on the captured image acquired by the image acquisition unit, a second image processing unit that generates a second processed image based on the captured image, and an output unit that outputs an acquired disease status using a learning model, which outputs a disease status, when the first processed image generated by the first image processing unit and the second processed image generated by the second image processing unit are input.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: July 2, 2024
    Assignee: HOYA CORPORATION
    Inventor: Takao Makino
  • Patent number: 12026890
    Abstract: A solution is proposed for imaging an object containing a luminescence substance. A corresponding method (500) is based on a refining loop. At each iteration of the refining loop, different spatial patterns are determined (516-518, 524;536-540, 546), partial illuminations corresponding to the spatial patterns are applied to the object (520,526;542,548), component images are acquired in response to the partial illuminations (522,528;544,550) and the component images are combined (530;552) into a combined image. A corresponding system (100) is also proposed. Moreover, a computer program (400) and a corresponding computer program product are proposed. A diagnostic method, a surgical method and a therapeutic method based on the same solution are further proposed.
    Type: Grant
    Filed: June 16, 2020
    Date of Patent: July 2, 2024
    Assignee: SurgVision GmbH
    Inventor: Maximilian Koch
  • Patent number: 12026874
    Abstract: There is provided a method, comprising: feeding 2D image(s) of an internal surface of a colon captured by an endoscopic camera, into a machine learning model, wherein the 2D image(s) excludes a depiction of an external measurement tool, wherein the machine learning model is trained on records, each including 2D images of the internal surface of the colon of a respective subject labelled with ground truth labels of respective bounding boxes enclosing respective polyps and at least one of an indication of size and a type of the respective polyp indicating likelihood of developing maligiancy, obtaining a bounding box for a polyp and at least one of an indication of size and type of the polyp, and generating instructions for presenting within the GUI, an overlay of the bounding box over the polyp and the at least one of the indication of size and type of the polyp.
    Type: Grant
    Filed: August 4, 2021
    Date of Patent: July 2, 2024
    Assignee: Magentiq Eye LTD
    Inventors: Yaroslav Protsenko, Yuri Rapoport, Dror Zur
  • Patent number: 12026904
    Abstract: A depth acquisition device includes a memory and a processor. The processor performs: acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring, from the memory, an infrared light image generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring, from the memory, a visible light image generated by imaging a substantially same scene as the scene of the infrared light image, with visible light from a substantially same viewpoint as a viewpoint of imaging the infrared light image at a substantially same time as a time of imaging the infrared light image; detecting a flare region from the infrared light image; and estimating a depth of the flare region based on the infrared light image, the visible light image, and the flare region.
    Type: Grant
    Filed: March 9, 2023
    Date of Patent: July 2, 2024
    Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
    Inventors: Satoshi Sato, Takeo Azuma, Nobuhiko Wakai, Kohsuke Yoshioka, Noritaka Shimizu, Yoshinao Kawai, Takaaki Amada, Yoko Kawai, Takeshi Murai, Hiroki Takeuchi
  • Patent number: 12026855
    Abstract: A method of rendering an image of a 3-D scene includes rendering a noisy image and obtaining one or more guide channels. For each of a plurality of local neighborhoods, the method comprises: calculating the parameters of a model that approximates the noisy image as a function of the one or more guide channels, and applying the calculated parameters to produce a denoised image. At least one of (i) the noisy image, (ii) the one or more guide channels, and (iii) the denoised image, are stored in a quantized low-bitdepth format.
    Type: Grant
    Filed: September 30, 2022
    Date of Patent: July 2, 2024
    Assignee: Imagination Technologies Limited
    Inventors: Szabolcs Csefalvay, James Imber, David Walton, Insu Yu
  • Patent number: 12023281
    Abstract: Module for housing electronic and electromechanical medical equipment including a portable digital camera and processing circuitry with machine vision and machine learning software for automatically documenting healthcare events and healthcare equipment operations in the electronic health record.
    Type: Grant
    Filed: May 3, 2023
    Date of Patent: July 2, 2024
    Assignee: Augustine Biomedical + Design, LLC
    Inventors: Scott D. Augustine, Susan D. Augustine, Garrett J. Augustine, Brent M. Augustine, Ryan S Augustine, Randall C. Arnold
  • Patent number: 12026934
    Abstract: The present disclosure relates to a method and apparatus for training a convolutional neural network (CNN) that is robust to missing input information.
    Type: Grant
    Filed: November 20, 2021
    Date of Patent: July 2, 2024
    Inventors: Xue Feng, Quan Chen, Kanchan Ghimire
  • Patent number: 12026193
    Abstract: Computer-implemented methods, computer-readable storage media, and computer systems for associating received medical imaging data with stored medical imaging data. Medical imaging data associated with a patient is received from a client device. The medical imaging data includes an image object, one or more data objects related to the image object, and metadata associated with the patient encoded in Digital Imaging and Communication in Medicine (DICOM) format. The metadata includes personal information about the patient, and time and location at which the DICOM image file was captured. The received metadata is compared with existing metadata associated with multiple existing patients to identify a subset of the existing patients who may be a potential match to the patient. Selection of an existing patient from among the subset is requested. When received, the medical imaging data is associated with the existing patient.
    Type: Grant
    Filed: November 29, 2021
    Date of Patent: July 2, 2024
    Assignee: WITS(MD) LLC.
    Inventors: Richard James Bruce, Gary John Wendt
  • Patent number: 12026876
    Abstract: This invention provides systems and methods that can detect incidental OVFs in CT examinations at the level of practicing radiologists. The OVF detection system leverages a deep convolutional neural network (CNN) to extract radiological features from each CT scan slice. These extracted features are processed through a feature aggregation module to make the final diagnosis for the full CT scan. Feature aggregation, can be performed in a variety of ways, including the use of a long short-term memory (LSTM) network. In one example, the CNN can be trained on a predetermined number of CT scans, which are established as reference standards. This result can effectively the performance of practicing radiologists on this test set in real world clinical circumstances. The system and method can be employed to assist and improve OVF diagnosis in clinical settings by pre-screening routine CT examinations and flagging suspicious cases prior to review by radiologists.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: July 2, 2024
    Assignees: The Trustees of Dartmouth College, Dartmouth-Hitchcock Clinic
    Inventors: Saeed Hassanpour, Yvonne Cheung, Naofumi Tomita
  • Patent number: 12016633
    Abstract: An AR headset is described to co-localize an image data set with a body of a person. The image data set of a portion of the body may be identified. The image data set can include a virtual anatomical marker to identify an anatomical location. A spatial location may be identified using a physical pointer object in a field of view of the AR headset. A spatial location of a visible anatomical feature as identified using the physical pointer object may be recorded. The registration may be triggered based on an input that the physical pointer object is located at a visible anatomical feature of the body of the person. Further, the image data set may be aligned with the body of the person using the spatial location recorded for the visible anatomical feature as referenced to the virtual anatomical marker in the image data set.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: June 25, 2024
    Assignee: Novarad Corporation
    Inventors: Wendell Arlen Gibby, Steven Todd Cvetko
  • Patent number: 12019046
    Abstract: A laser-line-generating system generates and process a laser light to illuminate a capillary array. The laser-line-generating system includes a laser-light source, focusing optics, a first optical scanner, and a second optical scanner. The laser-light source outputs a first laser light. The focusing optics receives the first laser light and reduces a beam width of the first laser light. The first optical scanner receives the first laser light and output a first optical-scanner-outputted light by varying an angle of outputted light along a first dimension. The second optical scanner receives the first optical-scanner-outputted light and outputs a second optical-scanner-outputted light by varying an angle of outputted light along a second dimension. The second optical-scanner-outputted light includes a line with dimensional components in both the first dimension and the second dimension.
    Type: Grant
    Filed: April 30, 2020
    Date of Patent: June 25, 2024
    Inventors: Sergey Lazarev, Bruce Johnson
  • Patent number: 12019005
    Abstract: A cell observation system observes a cell moving in a flow path with a fluid, and includes a first imaging apparatus, a second imaging apparatus, and a control device. The first imaging apparatus includes a first optical system and a first imaging element, and captures an image of the cell at a first position in a moving direction. The second imaging apparatus includes a second optical system, in which a focus is adjusted based on a focus adjustment signal, and a second imaging element, and captures an image of the cell at a second position downstream of the first position. The control device obtains a passing position of the cell in a cross section of the flow path based on the image obtained by the first imaging element, generates the focus adjustment signal, and provides the signal to the second optical system.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: June 25, 2024
    Assignees: NATIONAL UNIVERSITY CORPORATION HAMAMATSU UNIVERSITY SCHOOL OF MEDICINE, HAMAMATSU PHOTONICS K.K.
    Inventors: Hirotoshi Kikuchi, Hidenao Yamada, Amane Hirotsu, Daisuke Yamashita, Shigetoshi Okazaki
  • Patent number: 12020160
    Abstract: A method, computer program product and system for generating a neural network. Initial neural networks are prepared, each of which includes an input layer containing one or more input nodes, a middle layer containing one or more middle nodes, and an output layer containing one or more output nodes. A new neural network is generated that includes a new middle layer containing one or more middle nodes based on the middle nodes of the middle layers of the initial neural networks.
    Type: Grant
    Filed: January 19, 2018
    Date of Patent: June 25, 2024
    Assignee: International Business Machines Corporation
    Inventor: Takeshi Inagaki
  • Patent number: 12020435
    Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media that allow a user to easily obtain accurate image-based measurements of physical items, including one or more crops. Also disclosed herein are systems, methods and non-transitory computer-readable storage media that utilize the accurate measurements to generate one or more derived metric.
    Type: Grant
    Filed: August 10, 2021
    Date of Patent: June 25, 2024
    Assignee: Crop Search LLC
    Inventor: Eric Engman
  • Patent number: 12016653
    Abstract: An optical coherence tomography scanning system traverses its respective scan pattern quickly, typically completing an entire two-dimensional frame faster than a conventional raster scanner completes one raster line segment. To traverse the scan pattern quickly, the system takes fewer A-scans per length of scan pattern than a conventional OCT scanner. To compensate for the sparsity of the sample points along the respective scan line segments, and for gaps between respective line segments of the trajectory, the system acquires and combines several partially overlapping frames for each study.
    Type: Grant
    Filed: September 8, 2023
    Date of Patent: June 25, 2024
    Assignee: Perceptive Technologies, Inc.
    Inventors: Christopher John Ciriello, Wei Kang, Phillip Getto, Angela Zhang, Justin LaRue, Victor Grinberg
  • Patent number: 12020372
    Abstract: A method for transforming an “original” view of an “original” digital three-dimensional model into a hyper-realistic view. The method includes creating a “transformation” learning base of more than 1000 “transformation” records. Each transformation record includes a “transformation” photo representing a scene, and a view of a “transformation” digital three-dimensional model modeling the scene, or “transformation view”, the transformation view representing the scene in the same way as the transformation photo. The method includes training at least one “transformation” neural network, by way of the transformation learning base. The method includes submitting the original view to the at least one transformation neural network, such that it transforms it into a hyper-realistic view.
    Type: Grant
    Filed: July 10, 2019
    Date of Patent: June 25, 2024
    Assignee: DENTAL MONITORING
    Inventors: Philippe Salah, Thomas Pellissard, Guillaume Ghyselinck, Laurent Debraux
  • Patent number: 12016655
    Abstract: The present disclosure relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of regions in one or more regions of interest (ROI's) on a patient and assigning one or more visual indicators to the regions based on the calculated changes in depth of the regions over time. In some embodiments, one or more breathing parameter signals corresponding to the regions can be generated and/or analyzed. In these and other embodiments, the one or more visual indicators can be displayed overlaid onto the regions in real-time. In these and still other embodiments, the systems, methods, and/or computer readable media (i) can display one or more generated breathing parameter signals in real-time and/or (ii) can trigger an alert and/or an alarm when a breathing abnormality is detected.
    Type: Grant
    Filed: March 25, 2022
    Date of Patent: June 25, 2024
    Assignee: Covidien LP
    Inventors: Dominique Jacquel, Paul S. Addison, David Ming Hui Foo
  • Patent number: 12020808
    Abstract: Provided are a medical image processing apparatus, a medical image processing method, a program, and a diagnosis support apparatus that appropriately control whether or not to report reporting information of a medical image independently of a user operation. The above object is achieved by a medical image processing apparatus including a reporting control unit that performs control to bring reporting information included in a medical image into either a reporting state in which the reporting information is reported by a reporting unit or a non-reporting state in which the reporting information is not reported by the reporting unit. The reporting control unit brings the reporting information into the non-reporting state in a case where the medical image satisfies a non-reporting condition and brings the reporting information into the reporting state after a non-reporting time has elapsed from when the medical image does not satisfy the non-reporting condition.
    Type: Grant
    Filed: April 14, 2021
    Date of Patent: June 25, 2024
    Assignee: FUJIFILM Corporation
    Inventor: Shumpei Kamon
  • Patent number: 12020351
    Abstract: A method, device and equipment for reconstructing a PET image are provided. The method includes acquiring a prior image comprising an anatomical image and an autocorrelation feature image, the autocorrelation feature image being determined based on gray-level co-occurrence matrix of the anatomical image; and acquiring a feature value of the prior image; reconstructing the PET image according to the feature value and an iterative algorithm.
    Type: Grant
    Filed: December 18, 2020
    Date of Patent: June 25, 2024
    Assignee: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
    Inventors: Zhanli Hu, Hairong Zheng, Dong Liang, Xin Liu, Yongfeng Yang, Dongfang Gao
  • Patent number: 12021837
    Abstract: A network access system for detecting intrusions over a network. The network access system includes a computer having non-transitory memory for storing machine instructions that are to be executed by the computer. The machine instructions when executed by the computer implement the following functions: receive network traffic from one or more discrete virtual private network connections, store the network traffic in a repository, and monitor the network traffic for a malicious action.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: June 25, 2024
    Assignee: Darrien Ventures LLC
    Inventor: Ben Harel
  • Patent number: 12020165
    Abstract: A trained deep neural network transforms an image of a sample obtained with a holographic microscope to an image that substantially resembles a microscopy image obtained with a microscope having a different microscopy image modality. Examples of different imaging modalities include bright-field, fluorescence, and dark-field. For bright-field applications, deep learning brings bright-field microscopy contrast to holographic images of a sample, bridging the volumetric imaging capability of holography with the speckle-free and artifact-free image contrast of bright-field microscopy.
    Type: Grant
    Filed: November 14, 2019
    Date of Patent: June 25, 2024
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Aydogan Ozcan, Yair Rivenson, Yichen Wu
  • Patent number: 12016709
    Abstract: A computer-implemented method for preparing a subject in medical imaging, comprising: obtaining a series of images of a region of interest comprising at least a part of the subject, wherein the series of images comprises at least a first image and at least a subsequent, second image (S10); determining a position of at least one landmark from the series of images, wherein the at least one landmark is anatomically related to a target anatomy (S20); determining a confidence level assigned to the position of the at least one landmark (S30); determining the position of the target anatomy based on the position of the at least one landmark, and the confidence level (S40); providing the position of the target anatomy for preparing the subject in medical imaging (S50).
    Type: Grant
    Filed: March 9, 2022
    Date of Patent: June 25, 2024
    Assignee: Koninklijke Philips N.V.
    Inventors: Karsten Sommer, Sascha Krueger, Peter Koken, Julien Thomas Senegas
  • Patent number: 12020449
    Abstract: The present disclosure relates to a patient motion tracking system for automatic generation of a region of interest on a 3D surface of a patient positioned in a radiotherapy treatment room. More particularly, the disclosure relates to an assistive approach of a motion tracking system, by which a region of interest (ROI) is automatically generated on a generated 3D surface of the patient. Furthermore, a method for automatically generating a ROI on the 3D surface of the patient is described. In particular, all the embodiments refer to systems integrating methods for automatic ROI generation in a radiotherapy treatment setup.
    Type: Grant
    Filed: May 9, 2023
    Date of Patent: June 25, 2024
    Assignee: VISION RT LIMITED
    Inventor: Kevin Keraudren
  • Patent number: 12014488
    Abstract: Embodiments discussed herein facilitate determination of cancer stages based at least in part on shape, size, and/or texture features of cancer nuclei. One example embodiment is a method, comprising: accessing at least a portion of a digital whole slide image (WSI) comprising a tumor; segmenting (e.g., via a first deep learning model) the tumor on the at least the portion of the digital WSI; segmenting (e.g., via a second deep learning model) cancer nuclei in the segmented tumor; extracting one or more features from the segmented cancer nuclei; providing the one or more features extracted from the segmented cancer nuclei to a trained machine learning model; and receiving, from the machine learning model, an indication of a cancer stage of the tumor.
    Type: Grant
    Filed: January 4, 2021
    Date of Patent: June 18, 2024
    Assignees: Case Western Reserve University, UH Cleveland Medical Center, The United States Government as Represente
    Inventors: Anant Madabhushi, Neeraj Kumar, Joseph E. Willis
  • Patent number: 12014537
    Abstract: The present invention relates to an organ classification system, and the system for classifying the type of an organ may comprise: a search unit for searching an input image for a frame where an image regarding an organ starts, on the basis of a plurality of organ images pre-learned according to types of organs; an obtainment unit for obtaining an image of a found frame from the input image; and a storage unit for storing location information of the found frame in the input image.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: June 18, 2024
    Assignee: INTROMEDIC CO., LTD.
    Inventors: You Jin Kim, Du Hyun Choi, Young Dae Seo
  • Patent number: 12014828
    Abstract: Systems and methods are disclosed herein for determining a diagnosis based on a base skin tone of a patient. In an embodiment, the system receives a base skin tone image of a patient, generates a calibrated base skin tone image by calibrating the base skin tone image using a reference calibration profile, and determines a base skin tone of the patient based on the calibrated base skin tone image. The system receives a concern image of a portion of the patient's skin, and selects a set of machine learning diagnostic models from a plurality of sets of candidate machine learning diagnostic models based on the base skin tone of the patient, each of the sets of candidate machine learning diagnostic models trained to receive the concern image and output a diagnosis of a condition of the patient.
    Type: Grant
    Filed: June 15, 2020
    Date of Patent: June 18, 2024
    Assignee: Digital Diagnostics Inc.
    Inventors: Elliot Swart, Elektra Efstratiou Alivisatos, Joseph Ferrante, Elizabeth Asai
  • Patent number: 12014499
    Abstract: A bioimage acquiring device includes a first conversion unit that performs a first conversion process wherein a negative bioimage is converted using a first converter so as to acquire a converted bioimage which is the result of the conversion, and a classifying unit that performs a first classifying process wherein a determination is made as to whether the converted bioimage is a positive bioimage or a negative bioimage, using a classifier for determining whether an image is a negative bioimage or a positive bioimage, wherein the first conversion unit performs a learning process using the determination result obtained by the classifying unit and the converted bioimage, performs an update process for updating the first converter, and receives a new negative bioimage, and the first conversion unit converts the new negative bioimage using the updated first converter to acquire a converted bioimage which is the result of the conversion.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: June 18, 2024
    Assignee: E-GROWTH CO., LTD.
    Inventors: Keiho Imanishi, Megumi Nakao
  • Patent number: 12014490
    Abstract: Embodiments are directed to use of a rapid-test-validation computing device to determine if a result of a rapid test device is valid and identify the result. The rapid-test-validation computing device captures images of the rapid test device and employs a first artificial intelligence mechanism to determine if the rapid test device is properly aligned in the images. The rapid-test-validation computing device then employs a second artificial intelligence mechanism to determine if a result of the rapid test device is valid or invalid. If the result is valid, the rapid-test-validation computing device employs a third artificial intelligence mechanism to determine and present an objective output of the rapid test device result to a user; otherwise, the rapid-test-validation computing device presents a notification to the user that the rapid test device result is invalid.
    Type: Grant
    Filed: April 20, 2021
    Date of Patent: June 18, 2024
    Assignee: INBIOS INTERNATIONAL, INC.
    Inventors: James William Needham, Koji Abe
  • Patent number: 12007320
    Abstract: The present invention is related to, among other things, the devices and methods that improve the accuracy and reliability of an assay, even when the assay device and/or the operation of the assay device has certain errors, and in some embodiments the errors are random.
    Type: Grant
    Filed: June 28, 2023
    Date of Patent: June 11, 2024
    Assignee: Essenlix Corporation
    Inventors: Stephen Y. Chou, Wu Chou, Xing Li, Hongbing Li, Yuecheng Zhang, Mingquan Wu, Wei Ding, Jun Tian
  • Patent number: 12004723
    Abstract: An endoscope system that controls an amount of illumination light according to a change of a subject where the subject is illuminated with a plurality of pieces of light while the plurality of pieces of light are switched. The system includes a light source unit that emits first illumination light and second illumination light having an emission spectrum different from an emission spectrum of the first illumination light, a first processor, and a second processor. A set light amount-adjustment unit performs at least one of adjustment of the amount of second illumination light that is set at a first switching timing at which illumination light is switched to the second illumination light from first illumination light or adjustment of the amount of first illumination light that is set at a second switching timing at which illumination light is switched to the first illumination light from second illumination light.
    Type: Grant
    Filed: August 12, 2021
    Date of Patent: June 11, 2024
    Assignee: FUJIFILM Corporation
    Inventor: Kosuke Iwane
  • Patent number: 12007544
    Abstract: A method for capturing an image of an object includes guiding a scanning beam along a scanning trajectory over the object using a scanner, with the scanning movement being periodic in a direction. The scanning movement is sampled at a first sampling frequency for detecting and capturing a current position of the scanner as position values and radiation from the object is captured as captured sampling values at a second sampling frequency. Current values of the amplitude and the phase of the scanning movement are calculated. A current amplitude, phase and/or frequency and future changes in the amplitude, phase and/or frequency over time are calculated. An image grid is set, with grid elements being assigned the sampling values based on times at which the scanning beam crosses or will cross at least one boundary of the grid elements.
    Type: Grant
    Filed: September 4, 2019
    Date of Patent: June 11, 2024
    Assignee: CARL ZEISS MICROSCOPY GMBH
    Inventors: Tobias Kaufhold, Frank Klemm, Thomas Egloff, Mirko Liedtke
  • Patent number: 12009104
    Abstract: There are provided a medical image processing apparatus, a medical image processing method, a machine learning system, and a program that can reduce the volume of communication and can reduce the processing load of retraining or additional training that is performed by a machine learning apparatus.
    Type: Grant
    Filed: December 10, 2020
    Date of Patent: June 11, 2024
    Assignee: FUJIFILM Corporation
    Inventors: Misaki Kawahara, Goro Miura, Satoshi Naito, Shumpei Kamon, Masaaki Oosake
  • Patent number: 12008758
    Abstract: Identifying polyps or lesions in a colon. In some variations, computer-implemented methods for polyp detection may be used in conjunction with an endoscope system to analyze the images captured by the endoscopic system, identify any polyps and/or lesions in a visual scene captured by the endoscopic system, and provide an indication to the practitioner that a polyp and/or lesion has been detected.
    Type: Grant
    Filed: September 24, 2022
    Date of Patent: June 11, 2024
    Assignee: PSIP LLC
    Inventors: Salmaan Hameed, Giau Nguyen
  • Patent number: 12008753
    Abstract: The present invention refers to providing a system that allows to very accurately determine the state of a disease, like COPD, in a patient. The system (100) comprises a unit (101) for providing images of the region of interest corresponding to different states of the region of interest, a unit (102) for elastically registering the images to each other resulting in an elastic registration output, a unit (103) for determining a specific tissue region in an image, a unit (104) for determining a specific elastic registration output for the specific tissue region based on the determined elastic registration output, and a unit (105) for determining an elastic indicator for the specific tissue type based on the specific elastic registration output. Thus, a state of a disease that influences the elastic properties of the specific tissue type can be determined very accurately.
    Type: Grant
    Filed: January 16, 2020
    Date of Patent: June 11, 2024
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Thomas Koehler, Sven Kabus
  • Patent number: 12008752
    Abstract: Techniques for automated alignment of image capture of physical ailments are described. A method of automated alignment of image capture of physical ailments includes determining an alignment class of a first image of an object using an alignment classifier executing on a user device, providing alignment instructions based on the alignment class and a reference image associated with the object using at least one machine learning model executing on the user device, obtaining an aligned image of the object after the user device has been repositioned relative to the object based on the alignment instructions, and sending the aligned image to an agent device via a telemedicine service of a provider network.
    Type: Grant
    Filed: June 29, 2021
    Date of Patent: June 11, 2024
    Assignee: Amazon Technologies, Inc.
    Inventor: Layne Christopher Price
  • Patent number: 12008759
    Abstract: A computer-implemented method for identifying pathological changes in follow-up medical images is provided. In an embodiment, the method includes: providing reference image data showing a body part of a patient at a first time; providing follow-up image data showing a body part of a patient at a subsequent second time; generating one or more deformation fields for the reference image data and the follow-up image data describing anatomical deformations in the body part between the reference image data and the follow-up image data using at least one image registration; aligning the reference image data and the follow up image data using the one or more deformation fields to generate co-aligned image data; analyzing the co-aligned image data to identify pathological changes in the body part from the reference image data to the follow image data using a machine learned network trained to recognize pathological relevant changes in co-aligned image data.
    Type: Grant
    Filed: November 23, 2020
    Date of Patent: June 11, 2024
    Assignee: Siemens Healthineers AG
    Inventors: Gerardo Hermosillo Valadez, Sven Kohle, Christian Tietjen, Matthias Wolf
  • Patent number: 12004966
    Abstract: Embodiments provide systems and methods to guide arthroscopic SCR surgery by providing dimensional/shape information on an implanted graft. One example comprises receiving imaging data (ID) contained in a video stream captured by an imaging device at a treatment site (TS) and processing the ID. The ID is analyzed to determine ID that depicts a set of anchor structures (AS) in the TS, determine an orientation attribute of each AS of the set with respect to a reference; and determine a respective scale factor (SF) for portions of ID that depict each AS of the set, the respective SF of each portion of the ID reflecting a size distortion of that portion of the ID with respect to a reference scale. Geometric information is determined for at least a portion of the TS where the set of ASs are located and is used to determine shape and dimensions of the graft.
    Type: Grant
    Filed: April 12, 2022
    Date of Patent: June 11, 2024
    Assignee: Kaliber Labs Inc.
    Inventor: Chandra Jonelagadda
  • Patent number: 12008742
    Abstract: A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.
    Type: Grant
    Filed: April 8, 2022
    Date of Patent: June 11, 2024
    Assignee: Viz.ai Inc.
    Inventors: Gil Levi, Yoni Donner, David Golan, Christopher Mansi
  • Patent number: 12007334
    Abstract: Methods and apparatus of inspection tools for inspecting impurities in vials are provided herein. In some embodiments, an inspection tool for inspecting impurities in vials includes: a table for inspecting a plurality of vials; one or more carts configured to move about the table to place the one or more carts in an inspection position, wherein each of the one or more carts includes a vial holder configured to hold a plurality of vials, and wherein each vial holder is configured to spin the plurality of vials on their own respective axes; and a camera configured to take images of the plurality of vials when the plurality of vials are disposed in the inspection position.
    Type: Grant
    Filed: October 25, 2021
    Date of Patent: June 11, 2024
    Assignee: APPLIED MATERIALS, INC.
    Inventor: Asaf Schlezinger
  • Patent number: 12008076
    Abstract: Provided is an end-to-end attention pooling-based classification method for histopathological images obtaining a better classification effect for small number of samples by S1, cutting the histopathology image into patches of a specified size, removing the patches with too much background area and packaging the remaining patches into a bag; S2, training a deep learning network by taking the bag obtained in S1 as an input using a standard multi-instance learning method; S3, scoring all the patches by using the trained deep learning network, and selecting m patches with highest and lowest scores for each whole slide image to form a new bag; S4, building a deep learning network including an attention pooling module, and training the network by using the new bag obtained in S3; and S5, after the histopathology image to be classified is processed in S1 and S3, performing classification by using the model obtained in S4.
    Type: Grant
    Filed: December 9, 2021
    Date of Patent: June 11, 2024
    Assignee: Wuhan University
    Inventors: Juan Liu, Zhiqun Zuo, Yuqi Chen, Zhuoyu Li, Jing Feng
  • Patent number: 11998168
    Abstract: The present invention relates to a uterine cervical image acquisition apparatus which acquires and displays images of a uterine cervix, and in some cases can automatically diagnose the onset of a disease related to the uterine cervix, the apparatus being characterized by comprising: a main body in which a camera for acquiring uterine cervical images is installed on one side, a user interface for displaying the uterine cervical images and inputting user touch commands is installed on the opposite side, and a handlebar unit is formed in a downward direction; a light source unit which emits light toward the front of the main body; a battery which is positioned inside the handlebar unit to supply power for charging and operation; an operation button unit which includes at least an image capturing button, a zoom-in button, and a zoom-out button formed on the handlebar unit; a memory for storing the captured uterine cervical images; a communication unit for transmitting the uterine cervical images to a reading comp
    Type: Grant
    Filed: October 28, 2020
    Date of Patent: June 4, 2024
    Assignee: AIDOT INC.
    Inventor: Jae Hoon Jeong
  • Patent number: 11998473
    Abstract: A method is disclosed performed by an accessory device in connection with an ostomy appliance configured to be placed on a user having a stoma. The method includes capturing one or more images of the user's stoma, processing the images, including: identifying the stoma; and generating indicia representative of a cutting line for the ostomy appliance as a function of the identified stoma, wherein the cutting line defines a hole to be formed on the ostomy appliance. The method further includes providing a visual display including: an appliance representation; and the indicia on the appliance representation.
    Type: Grant
    Filed: December 20, 2018
    Date of Patent: June 4, 2024
    Assignee: Coloplast A/S
    Inventors: Jais Ask Hansen, Niels Hvid, Daniel Gewecke Daugaard-Jensen, Peter Flintholm Soerensen, Dan Boegsted Andersen, Niels Kristian Mäkinen Andersen
  • Patent number: 12002204
    Abstract: Techniques are described for tailoring automatic exposure control (AEC) settings to specific patient anatomies and clinical tasks. According to an embodiment, computer-implemented method comprises receiving one or more scout images captured of an anatomical region of a patient in association with performance of a computed tomography (CT) scan. The method further comprises employing a first machine learning model to estimate, based on the one or more scout images, expected organ doses representative of expected radiation doses exposed to organs in the anatomical region under different AEC patterns for the CT scan. The method can further comprises employing a second machine learning model to estimate, based on the one or more scout images, expected measures of image quality in target and background regions of scan images captured under the different AEC patterns, and determining an optimal AEC pattern based on the expected organ doses and the expected measures of image quality.
    Type: Grant
    Filed: September 10, 2021
    Date of Patent: June 4, 2024
    Assignees: GE PRECISION HEALTHCARE LLC, THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
    Inventors: Adam S. Wang, Debashish Pal, Abdullah-Al-Zubaer Imran, Sen Wang, Evan Zucker, Bhavik Natvar Patel
  • Patent number: 11998272
    Abstract: After OCT scans are acquired, error compensation is be applied anew by identifying motion tracking data that was collected simultaneously with (or closest in time to) each acquired OCT scan. The effects of any previously applied motion tracking information is removed from an OCT scan before applying the new motion tracking data, which may provide higher resolution motion tracking.
    Type: Grant
    Filed: April 15, 2019
    Date of Patent: June 4, 2024
    Assignees: Carl Zeiss Meditec, Inc., Carl Zeiss Meditec AG
    Inventors: Luis De Sisternes, Patrick Krawec, Simon Bello, Sophie Kubach
  • Patent number: 12001672
    Abstract: An interface display method of an application is provided. The interface display method of an application may include: displaying a first user interface of the application; and in response to detecting a startup operation for a second user interface of the application, controlling states of components used to display the first user interface and the second user interface as a visible state, so that the first user interface and the second user interface are simultaneously displayed on a display panel, and the second user interface is a sub-interface of the first user interface.
    Type: Grant
    Filed: September 28, 2021
    Date of Patent: June 4, 2024
    Assignee: BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.
    Inventors: Kaipeng Fu, Xiuquan Liu
  • Patent number: 12000912
    Abstract: Aspects and embodiments provide an MRI scanner-compatible virtual reality system comprising: user equipment locatable within an MRI scanner bore, the user equipment being configured to provide a subject with an immersive virtual environment; the system further comprising: at least one sensor configured to track eye movement of the subject; wherein interaction of the subject with the immersive virtual environment is controlled by the tracked eye movement. Aspects and embodiments may be implemented in a manner which recognises that VR techniques, which typically rely upon dynamic movement of a VR subject, can be used to aid with maintenance of minimal motion of a subject to be placed within an MRI scanner bore. Implementations may be such that calmness of a subject can be increased and awareness of their physical surroundings diminished, thus allowing for successful MRI image acquisition whilst seeking to minimise distress, boredom and/or frustration experienced by the subject under study.
    Type: Grant
    Filed: April 24, 2020
    Date of Patent: June 4, 2024
    Assignee: KING'S COLLEGE LONDON
    Inventors: Joseph Hajnal, Tomoki Arichi, Kun Qian