Patents Issued in February 1, 2024
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Publication number: 20240037698Abstract: A system and method for channeled processing of head-frame and earth-frame symbology for display by a head worn display (HWD) receives image data associated with a head pose (e.g., based on a head-centered or earth-centered reference frame) and generates both head-frame and earth-frame symbology. The head-frame and earth-frame symbology sets are each encoded according to different color ranges or values by image rendering processors in communication with the HWD. The HWD tracker processors receive the image data and color range encoded symbology and the HWD pose augmentation processors adjust either the head-frame or earth-frame symbology according to the associated head pose data (bypassing the other symbology set) before returning the pose-adjusted symbology to the tracker processors for generation of an output image for display by the HWD wherein color encoding is removed from the symbology sets (e.g., head-frame/adjusted earth-frame, or earth-frame/adjusted head-frame).Type: ApplicationFiled: July 27, 2022Publication date: February 1, 2024Inventors: Jared R. Prink, Troy D. Driscoll
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HIGH-THROUGHPUT MICROSTRUCTURE CHARACTERIZATION AND RECONSTRUCTION METHOD OF HETEROGENEOUS MATERIALS
Publication number: 20240037699Abstract: A high-throughput microstructure characterization and reconstruction method of heterogeneous materials is provided. By extracting the features such as content, size and morphology of each constituent phase in the microscopic image of heterogeneous materials, and combining the principles of physical descriptor and texture synthesis method, the constituent phase with 10 microns scale, regular geometrical morphology and low content is characterized and reconstructed based on the physical descriptor, and the constituent phase with 100 microns scale, complex geometrical morphology and high content is characterized and reconstructed based on texture synthesis, and then the composition is adjusted to compensate for the overlapping pixels of each constituent phase to obtain batch reconstructed images.Type: ApplicationFiled: November 25, 2022Publication date: February 1, 2024Inventors: Li LIN, Zhiyuan MA, Yijia CHEN, Luoming SUN, Xiyu XIE -
Publication number: 20240037700Abstract: The architecture shown can perform global search, local search and local sub pixel search in a parallel or in a pipelined mode. All operations are in a streaming mode without the requirement of external intermediate data storage.Type: ApplicationFiled: October 12, 2023Publication date: February 1, 2024Inventors: Mahesh M. Mehendale, Ajit Deepak Gupte
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Publication number: 20240037701Abstract: Various image processing features are described. An interpolated pixel block of a first image may be used to generate a second image. Several types of interpolation may be available for obtaining the interpolated pixel block, and a particular type of interpolation may be determined based on various conditions, such as whether an interpolation feature of a first pixel block in the first image satisfies a feature determination condition. Different interpolation may be performed on the first pixel block according to complexity of image content in the first pixel block, which effectively reduces the computational complexity of up-sampling, avoids the computational resource waste caused by high computational resource consumption interpolation in the case of simple image content, and further reduces computational complexity.Type: ApplicationFiled: October 12, 2023Publication date: February 1, 2024Applicant: Tencent Technology (Shenzhen) Company LimitedInventors: Koon Wing Macgyver Lin, Wenbo Xi
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Publication number: 20240037702Abstract: A system, device and method are provided for generating image processing models for selected hardware. The method, illustratively, includes obtaining a reference model, a desired image resolution based on target hardware, and a training set of images comprising images with the desired image resolution and images with a higher resolution. The method includes generating an updated model by: iteratively training the reference model with a combined set of features, the combined set of features comprising features determined from the images with the higher resolution with at least one stem and features determined from the images with the desired resolution. The method includes outputting the trained updated model to the target hardware to process images with the desired image resolution.Type: ApplicationFiled: July 25, 2023Publication date: February 1, 2024Applicant: Deeplite Inc.Inventors: Sudhakar SAH, Ivan LAZAREVICH, Ahmadreza JEDDI, Honnesh ROHMETRA, Ehsan SABOORI
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Publication number: 20240037703Abstract: An image processing method includes receiving an input image and a guide image corresponding to the input image, extracting informative features from the input image and the guide image to enhance the input image, selectively obtaining a first feature for the input image from among the informative features, and processing the input image based on the first feature.Type: ApplicationFiled: October 16, 2023Publication date: February 1, 2024Applicant: Samsung Electronics Co., Ltd.Inventors: Jihye KIM, Seon Min RHEE, Jongseok KIM, Heewon KIM, Seungju HAN, Jaejoon HAN
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Publication number: 20240037704Abstract: The present application provides an image process method, a device, a server, and a storage medium. Performing different processes to an enlarged image and then fusing a plurality of images after the different processes make the initial image experience multiple processes, which effectively mitigates sawtooth and artifacts phenomenon in the image while improving clarity of the image.Type: ApplicationFiled: January 10, 2022Publication date: February 1, 2024Applicant: TCL CHINA STAR OPTOELECTRONICS TECHNOLOGY CO., LTD.Inventor: Cailing Fu
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Publication number: 20240037705Abstract: Disclosed is a video processor for removing interference due to nuclear radiation. The video processor includes a control circuit configured to receive video data from a camera placed in a nuclear radioactive environment, determine a first image from the video data, calculate a first brightness value at a first pixel in a first pixel location in the first image, determine a second image from the video data, calculate a second brightness value at a second pixel in a second pixel location in the second image, compare the first brightness value to the second brightness value, and update the second image by replacing the second pixel in the second image with the first pixel when the second brightness value is greater than the first brightness value. The first image corresponds to a time before the second image, and the first pixel location and the second pixel location are the same location.Type: ApplicationFiled: July 27, 2022Publication date: February 1, 2024Applicant: Westinghouse Electric Company LLCInventor: Lyman J. PETROSKY
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Publication number: 20240037706Abstract: An information processing device includes an acquisition section that is coupled to a camera that continuously images a sample including a material component and flowing through a flow cell in time series and generates a first image of the sample and a second image in which a portion continuous to the first image in time series overlaps a part of the first image, and acquires the first image and the second image generated by the camera, and an image output section that outputs a composite image obtained by combining the first image and the second image.Type: ApplicationFiled: July 24, 2023Publication date: February 1, 2024Applicant: ARKRAY, Inc.Inventor: Koji FUJIMOTO
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Publication number: 20240037707Abstract: An image fusion method based on image and LiDAR point cloud, comprises: acquiring a first image and sparse point cloud data (S10), point cloud data comprised in each channel of the sparse point cloud data corresponding to pixels comprised in the first image respectively, and the sparse point cloud data and the first image having space and time synchronicity; obtaining a target gradient value corresponding to at least one target pixel comprised in the first image according to the first image (S12), the target pixel being a non-edge pixel of the first image; up-sampling the sparse point cloud data based on at least one target gradient value to obtain dense point cloud data (S14), the target gradient value being determined according to a corresponding target pixel between adjacent channels of the sparse point cloud data; and obtaining a target fusion image based on the first image and the dense point cloud data (S16).Type: ApplicationFiled: April 21, 2022Publication date: February 1, 2024Applicant: Tanway Technology (Beijing) Co., Ltd.Inventors: Jiawei Shan, Ruitong Zheng, Shiwei Wang, Luofeng Shen, Hongpeng Li
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Publication number: 20240037708Abstract: An image processing method includes an electronic device configured to perform style migration processing on a first image sequence based on a target migration style by using a fused style migration model into which a plurality of single-style migration models is fused in order to obtain a second image sequence. A style of a 1st frame of image to a style of a last frame of image in the second image sequence change in a first style order in styles of output images of the plurality of single-style migration models. The first image sequence may be from a video shot by using the electronic device. The electronic device may save a plurality of frames of images in the second image sequence as a video. The video may present an effect of rapid time lapse during play.Type: ApplicationFiled: December 3, 2021Publication date: February 1, 2024Inventors: Wendong Chen, Shuai Chen, Meng Liu
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Publication number: 20240037709Abstract: Computer implemented methods (600) based on artificial neural networks for determining the datacube are also disclosed.Type: ApplicationFiled: December 10, 2021Publication date: February 1, 2024Inventors: Robin Wang, Alexander Spanellis, Stephen Chappell
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Publication number: 20240037710Abstract: The image processing apparatus includes a processor. The processor is configured to: acquire a second image, which is obtained by performing first AI processing on a first image, and a fourth image, which is obtained without performing the first AI processing on the first image or a third image; and combine the second image and the fourth image according to an indicator of the first image and/or the third image.Type: ApplicationFiled: July 11, 2023Publication date: February 1, 2024Applicant: FUJIFILM CorporationInventors: Tomoharu SHIMADA, Taro SAITO, Koichi TANAKA
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Publication number: 20240037711Abstract: An information processing method includes, for each of multiple images having an overlapping area, the multiple images being obtained by capturing a subject with respective multiple imagers whose shooting ranges overlap each other in part, detecting a position of a feature point of the subject in the overlapping area, trimming, at a position of a virtual line, an image of each of the multiple images in which the virtual line based on the position of the feature point is included in the overlapping area, and merging the multiple images to generate a single composite image.Type: ApplicationFiled: July 20, 2023Publication date: February 1, 2024Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHAInventor: Tatsuro HORI
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Publication number: 20240037712Abstract: Provided is an artificial intelligence (AI) system that mimics functions, such as recognition and determination by human brains, by utilizing a machine learning algorithm, such as deep learning, and applications of the AI system.Type: ApplicationFiled: October 11, 2023Publication date: February 1, 2024Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Jaeho JUNG, Yeultak SUNG
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Publication number: 20240037713Abstract: Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, techniques to apply an image anti-aliasing operation to an image frame.Type: ApplicationFiled: August 1, 2022Publication date: February 1, 2024Inventors: Liam James O'Neil, Joshua James Sowerby, Yanxiang Wang, Samuel James Edward Martin
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Publication number: 20240037714Abstract: A computer-implemented method is provided for improving image quality with shortened acquisition time. The method comprises: determining an accelerated image acquisition scheme for imaging a subject using a medical imaging apparatus; acquiring a medical image of the subject according to the accelerated image acquisition scheme using the medical imaging apparatus; applying a deep network model to the medical image to improve the quality of the medical image; and outputting an improved quality image of the subject, for analysis by a physician.Type: ApplicationFiled: May 26, 2023Publication date: February 1, 2024Inventors: Tao Zhang, Enhao Gong
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Publication number: 20240037715Abstract: Methods, systems and devices for preventing and/or retarding myopia onset and/or progression are provided. Particularly, the system for preventing and/or retarding myopia onset and/or progression including an eye tracker, a display, a controller, and a dynamic blurring filter for the visual content on the display. The display is first presented to a subject, then the eye tracker is employed to detect the movement and the location of the subject's eyes and generate a tracking signal. The tracking signal is further processed by the controller to determine a gaze point of the subject's eye on the display. Based on the gaze point, a dynamic blurring filter is created and applied onto the display.Type: ApplicationFiled: July 28, 2023Publication date: February 1, 2024Inventors: Benjamin Simon THOMPSON, Chi Ho TO, Yan Yin TSE, Ka Man CHUN, Elie Aymard Jonathan DE LESTRANGE-ANGINIEUR
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Publication number: 20240037716Abstract: An image inputter and a controller are provided, and the controller acquires a multiple-value image via the image inputter, acquires a first image obtained by performing a correction process and a simple binarization process on the multiple-value image and a second image obtained by performing the correction process on the multiple-value image, uses a difference value of a pixel value of the second image with respect to the first image on a pixel-by-pixel basis to determine whether a jaggy occurs when the multiple-value image is output as a simple binary image, when a jaggy occurs, determines a conversion method for converting the multiple-value image in accordance with an amount of statistics calculated using the difference value, and outputs an image obtained by conversion using the determined conversion method.Type: ApplicationFiled: July 24, 2023Publication date: February 1, 2024Inventors: DAISAKU IMAIZUMI, TERUHIKO MATSUOKA
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Publication number: 20240037717Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating neural network based perceptual artifact segmentations in synthetic digital image content. The disclosed system utilizing neural networks to detect perceptual artifacts in digital images in connection with generating or modifying digital images. The disclosed system determines a digital image including one or more synthetically modified portions. The disclosed system utilizes an artifact segmentation machine-learning model to detect perceptual artifacts in the synthetically modified portion(s). The artifact segmentation machine-learning model is trained to detect perceptual artifacts based on labeled artifact regions of synthetic training digital images. Additionally, the disclosed system utilizes the artifact segmentation machine-learning model in an iterative inpainting process. The disclosed system utilizes one or more digital image inpainting models to inpaint in a digital image.Type: ApplicationFiled: July 27, 2022Publication date: February 1, 2024Inventors: Sohrab Amirghodsi, Lingzhi Zhang, Zhe Lin, Elya Shechtman, Yuqian Zhou, Connelly Barnes
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Publication number: 20240037718Abstract: A system and a method include a display and a control unit including one or more processors configured to create a filter, and apply the filter to spectrum graphs of digital images to create modified spectrum graphs of the digital images. The digital images being digital charts including grid lines and data lines. The control unit is configured to convert the modified spectrum graphs to modified digital images. The modified digital images being modified digital charts that include the data lines, and at least some of the grid lines are removed from the digital charts of the digital images.Type: ApplicationFiled: August 1, 2022Publication date: February 1, 2024Applicant: THE BOEING COMPANYInventor: Mark McCabe
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Publication number: 20240037719Abstract: A method for enhancing a wide angle image to improve the perspectives and the visual appeal thereof wide-angle images uses custom adaptive dewarping. The method is based on the scene image content of recognized objects in the image, the position of these objects in the image, the depth of these objects in the scene with respect to other objects and the general context of the image.Type: ApplicationFiled: October 16, 2023Publication date: February 1, 2024Applicant: ImmerVision, Inc.Inventors: Patrice ROULET, Pierre KONEN, Jocelyn PARENT, Simon THIBAULT, Xavier DALLAIRE, Xiaojun DU, Ebrahim MORTAZY
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Publication number: 20240037720Abstract: A learning apparatus, a method of generating a learned model, and a program are capable of adequately widening the dynamic ranges of various images in a unified fashion. A training data generating section generates, on the basis of a second-class image, a first-class image associated with the second-class image, by referring to associative data where luminance values in a second dynamic range and luminance values in a first dynamic range are associated with each other. A learning section performs a learning process of a machine learning model by using the first-class image and the second-class image associated with the first-class image.Type: ApplicationFiled: February 15, 2021Publication date: February 1, 2024Applicant: Sony Interactive Entertainment Inc.Inventor: Hirotaka ASAYAMA
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Publication number: 20240037721Abstract: A system may access an image that is captured by an imaging device and that depicts an operational scene illuminated by close-range light. The system may also access a depth map of the operational scene. Based on the image and the depth map, the system may generate a processed image depicting the operational scene as being illuminated by a virtual light source that is to be simulated to be illuminating the operational scene and may provide the processed image for presentation on a display screen. Corresponding systems and methods are also disclosed.Type: ApplicationFiled: October 6, 2023Publication date: February 1, 2024Inventors: Geoffrey A. Richmond, Brian D. Hoffman
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Publication number: 20240037722Abstract: According to various embodiments, an electronic device includes at least one camera and at least one processor. The processor is configured to acquire, through the at least one camera, a first video of which the maximum luminance is a first luminance, check a first tone mapping function for converting the first video into a second video of which the maximum luminance is a second luminance that is lower than the first luminance, and check a second tone mapping function for converting the first video into a third video of which the maximum luminance is a third luminance that is lower than the second luminance. The processor is configured to relate, to the first video, first metadata based on the first tone mapping function and second metadata based on the second tone mapping function and store same.Type: ApplicationFiled: October 13, 2023Publication date: February 1, 2024Inventors: Sanguk PARK, Bongsoo JUNG, Seonghwan KIM, Donghyun YEOM
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Publication number: 20240037723Abstract: Methods of identifying a defect in a machine vision system. Embodiments of the method include providing a first imaging device having a first field of view; moving a reflective tool through the first field of view; capturing a plurality of images of the reflective tool at different locations in the first field of view using the first imaging device; and analyzing at least one of the plurality of images to identify one or more defects in the machine vision system. Systems and apparatus configured to carry out the methods are provided, as are other aspects.Type: ApplicationFiled: February 2, 2022Publication date: February 1, 2024Applicant: Siemens Healthcare Diagnostics Inc.Inventors: Rayal Raj Prasad Nalam Venkat, Yao-Jen Chang, Benjamin S. Pollack, Ankur Kapoor
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Publication number: 20240037724Abstract: A plant detection and display system obtains, from an image capture device, an image of a plurality of plants; execute detection processing on the obtained image using a trained model to classify each of the plurality of plants into a first category indicative of a defective plant having a quality score below a predetermined quality threshold or a second category indicative of a normal plant, determine, from the obtained image, position information for each of the plurality of plants classified in the first category; generate, using the position information, a map of the plurality of plants classified in the first category including an identifier around each of the plurality of plants; and provide the generated map to a terminal device for output on a display device providing visual representation of a location of each plant classified in the first class as a defective plant.Type: ApplicationFiled: December 6, 2021Publication date: February 1, 2024Inventor: Hunter Orrell
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Publication number: 20240037725Abstract: A monitoring device is a monitoring device of a material testing machine including a display having a marker on a display panel. The monitoring device includes: an acquisition unit that acquires a photographed image of a camera that photographs the display panel; a first generation unit that generates a first processed image obtained by gray-scaling the photographed image; a second generation unit that generates a second processed image obtained by performing blur processing on the first processed image; a third generation unit that generates a third processed image obtained by binarizing the first processed image based on the second processed image; and a first detection unit that detects the marker from the third processed image.Type: ApplicationFiled: July 23, 2023Publication date: February 1, 2024Applicant: SHIMADZU CORPORATIONInventor: Tohru MATSUURA
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Publication number: 20240037726Abstract: A method and apparatus for detecting a defect on a surface of a cell, including: obtaining an initial image of the surface of the cell by using an image acquisition unit; preprocessing the initial image to obtain at least one image to be detected of the surface of the cell; and inputting the at least one image to be detected into a defect detection neural network model, and obtaining a detection result outputted by the defect detection neural network model, the detection result being used to indicate whether there is a defect on the surface of the cell is described. According to technical solutions, features of the defect in the image may be made prominent, so as to facilitate subsequent detection of the defect detection neural network model; and more features may be extracted from the image, thereby improving the efficiency and accuracy of defect detection.Type: ApplicationFiled: August 23, 2023Publication date: February 1, 2024Applicant: CONTEMPORARY AMPEREX TECHNOLOGY CO., LIMITEDInventors: Hongji SUN, Fei CHEN, Guannan JIANG
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Publication number: 20240037727Abstract: A method for fault isolation includes: acquiring a thermal imaging picture of a surface of a to-be-tested chip, the thermal imaging picture being obtained by scanning the to-be-tested chip to which a test signal is applied through an infrared thermal imaging device, and analyzing the thermal imaging picture to obtain a phase angle of each point on the surface of the to-be-tested chip; acquiring a three-dimensional image of the surface of the to-be-tested chip, the three-dimensional image being obtained by scanning the to-be-tested chip to which the test signal is applied through an image scanning device, and analyzing the three-dimensional image to obtain a three-dimensional coordinate of each point on the surface of the to-be-tested chip; calculating a three-dimensional coordinate of the fault in the to-be-tested chip according to the phase angle and the three-dimensional coordinate of each point on the surface of the to-be-tested chip.Type: ApplicationFiled: December 5, 2022Publication date: February 1, 2024Applicant: China Electronics Reliability And Environmental Testing InstituteInventors: Chao Pang, Yiqiang Ni, Liang He, Shizheng Yang, Yinle Li
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Publication number: 20240037728Abstract: A system for generating training image data for supervised machine learning for training a defect classifier to be applied to visual inspection. The system arranges a defect model arbitrarily selected from a storage storing defect models obtained by modeling shapes and optical characteristics of defects and an inspection target surface model arbitrarily selected from a storage storing inspection target surface models obtained by modeling shapes and optical characteristics of inspection target surfaces, in any space in which ray tracing is performed by ray tracing simulation software in which an illumination optical system, an image pickup optical system, and an imaging sensor including a plurality of pixels are modeled. The system further traces a plurality of light rays, calculates illuminance at each of the pixels based on an intensity and a number of light rays entering the pixels, and generates pseudo image data as training image data based on the illuminance.Type: ApplicationFiled: July 28, 2023Publication date: February 1, 2024Inventor: Yoshihito SOUMA
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Publication number: 20240037729Abstract: Methods and systems are disclosed for obtaining a first image of a tray, determining a presence or absence of one or more first patterns in the first image, determining a rotation of each the one or more first patterns in the first image, and performing an action based on the presence or absence and the rotation of the one or more first patterns in the first image.Type: ApplicationFiled: October 12, 2023Publication date: February 1, 2024Applicant: Regeneron Pharmaceuticals, Inc.Inventors: Jason Eugene SMITH, Christopher S. KANEL, Patrick McDONOUGH, Robert Sterling NESBITT, Taylor MACEWEN
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Publication number: 20240037730Abstract: An inspection system includes a storage unit configured to store one or more inspection settings and one or more reference images, a reception unit configured to receive data for specifying a first inspection setting and a first reference image from among the one or more inspection settings and the one or more reference images stored in the storage unit, and an inspection unit configured to receive a scanned image obtained by scanning a print product and inspect the scanned image based on the first inspection setting and the first reference image specified by the data received by the reception unit.Type: ApplicationFiled: July 21, 2023Publication date: February 1, 2024Inventor: AYA KASAHARA
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Publication number: 20240037731Abstract: A medical image processing apparatus comprising processing circuitry configured to: receive medical image data including a region of interest; generate first rendering data by rendering the medical image data based on a first rendering condition; receive a characteristic value relating to detection certainty with respect to the region of interest by inputting the first rendering data to a machine learning model; determine a property of the first rendering condition based on the characteristic value.Type: ApplicationFiled: July 28, 2022Publication date: February 1, 2024Applicant: CANON MEDICAL SYSTEMS CORPORATIONInventor: Paul THOMSON
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Publication number: 20240037732Abstract: Disclosed in the present invention is a method for enhancing the quality and resolution of CT images based on deep learning, comprising the following steps: S1: pre-processing collected clinical data to obtain a data set; S2: building a deep learning model comprising a generative network, a decider network, and a cognitive network; S3: building a loss function; S4: using the data set and the loss function to update the parameters of the iterative generative network in order to obtain a trained deep learning model; and S5: inputting a low-quality low-resolution image into the trained deep learning model to obtain a high-quality high-resolution image.Type: ApplicationFiled: March 26, 2021Publication date: February 1, 2024Inventors: Nanjie Gong, Jiachen Wang, Lei Xiang
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CONTROL METHOD, APPARATUS AND PROGRAM FOR SYSTEM FOR DETERMINING LESION OBTAINED VIA REAL-TIME IMAGE
Publication number: 20240037733Abstract: Provided is a control method for a system for determining a lesion obtained via a real-time image. The control method comprises the steps of: an endoscope device obtaining a stomach endoscopy image; the endoscope device transmitting the obtained stomach endoscopy image to a server; the server determining a lesion included in the stomach endoscopy image, by inputting the stomach endoscopy image into a first artificial intelligence model; when it is determined that a lesion is detected in the stomach endoscopy image, the server obtaining an image including the lesion and transmitting the image to a database of the server; the server determining the type of the lesion included in the image, by inputting the image into a second artificial intelligence model; and when it is determined that a lesion is detected in the stomach endoscopy image, a display device displaying a UI for guiding the location of the lesion in the stomach endoscopy image.Type: ApplicationFiled: January 5, 2022Publication date: February 1, 2024Applicant: INDUSTRY ACADEMIC COOPERATION FOUNDATION, HALLYM UNIVERSITYInventors: Chang Seok BANG, Jae Jun LEE, Bum Joo CHO -
Publication number: 20240037734Abstract: Systems, methods, and apparatus are disclosed for analyzing an input image that includes a view of fecal matter. One example method includes: receiving an input image from a client device; determining that the input image comprises a view of fecal matter excreted by an animal; processing at least a portion of the input image comprising the view of the fecal matter using one or more machine learning models to generate a classification of the fecal matter or a health assessment of the animal; generating a recommendation for the animal based on the classification of the fecal matter or the health assessment of the animal; and displaying information related to the recommendation for the animal to a user. Some embodiments involve outputting confidence scores associated with one or more of the other outputs. Some embodiments implement Client-Server architecture and follow a Software as a Service (SaaS) model.Type: ApplicationFiled: December 14, 2021Publication date: February 1, 2024Applicant: MARS, INCORPORATEDInventors: Michael Wolfgang FITZKE, Mark Justin PARKINSON, André DOURSON, Robert Michael WIGGALL
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Publication number: 20240037735Abstract: An occlusal plane suggestion method according to an embodiment of the present invention comprises the steps in which: (a) an occlusal plane suggestion device receives at least one of first to fourth data for a person with normal occlusion and matches same to generate IVth image data; (b) the occlusal plane suggestion device analyzes the generated IVth image data to learn the relationship between a landmark, which is an anatomical singularity, and the occlusal plane of the person with normal occlusion; (c) the occlusal plane suggestion device receives at least one of first to fourth data about a patient; and (d) the occlusal plane suggestion device analyzes the received at least one of the first to fourth data about the patient on the basis of the learned relationship between the landmark and the normal occlusal plane to suggest and output an occlusal plane optimized for the patient.Type: ApplicationFiled: February 14, 2022Publication date: February 1, 2024Inventor: Jong Eun KIM
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Publication number: 20240037736Abstract: Provided is a technique that suggests a testing region suited to dissection in genetic testing of somatic cells. An acquisition unit (11) acquires image data of a pathological specimen; an estimation unit (12) estimates the content ratio of tumor cells in each of individual regions in a focus region in the image data of the pathological specimen; a determination unit (13) determines a testing region in the focus region on the basis of the content ratio of tumor cells in each of the individual regions in the focus region; and an output unit (14) outputs information indicating the testing region.Type: ApplicationFiled: March 25, 2021Publication date: February 1, 2024Applicant: NEC CorporationInventors: Ayaka Amakawa, Maki Sano, Yatin Joshi
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Publication number: 20240037737Abstract: A method of modelling an external support for a prospective pulmonary autograft attached to patient's heart using an imaging scanner (8), the method comprising: obtaining (100), using the scanner (8), at least one scan of the vasculature of the heart during systole of the heart; processing (102) each scan using a processor (2) to construct a model of the prospective pulmonary autograft; and processing (104) the model of the prospective pulmonary autograft to generate a model of the external support.Type: ApplicationFiled: December 15, 2021Publication date: February 1, 2024Applicant: Exstent LimitedInventors: Warren Elliot THORNTON, Brian McConnell AUSTIN, Taliesin John GOLESWORTHY
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Publication number: 20240037738Abstract: A processor extracts a region of a target organ from a medical image, extracts a region of at least one peripheral organ that is present in a periphery of the target organ from the medical image, derives a positional relationship between the target organ and the peripheral organ, and determines whether or not the target organ is compressed by the peripheral organ based on the positional relationship.Type: ApplicationFiled: June 16, 2023Publication date: February 1, 2024Applicant: FUJIFILM CorporationInventor: Mizuki TAKEI
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Publication number: 20240037739Abstract: A processor derives a feature amount related to an input image based on first to nth (n?2) derivation models, derives, via the first derivation model, a first feature amount based on the input image, and derives, via a kth (1<k?n) derivation model, a kth feature amount based on the input image and a k?1th feature amount derived by a k?1th derivation model. An nth feature amount derived by the nth derivation model is the feature amount related to the input image, and the k?1th feature amount includes a feature amount related to another region that is independent of a region related to the kth feature amount, which suggests the kth feature amount derived by the kth derivation model, and that serves as a basis for the derivation of the kth feature amount.Type: ApplicationFiled: June 20, 2023Publication date: February 1, 2024Applicant: FUJIFILM CorporationInventors: Aya OGASAWARA, Akimichi ICHINOSE
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Publication number: 20240037740Abstract: Methods and systems for generating a predictive HER2 score using machine learning models are disclosed. An example method generally includes identifying a plurality of nuclei and membrane segments in regions of interest in an input image using a first machine learning model. For the plurality of nuclei and membrane segments identified in the input image, a plurality of features are extracted and classified into one of a plurality of feature categories. Using a second machine learning model, a predictive HER2 score indicating the likelihood of whether a stained tissue sample captured in the input image is HER2 positive or HER2 negative is generated based on the classification assigned to the plurality of extracted features associated with the plurality of segments.Type: ApplicationFiled: July 27, 2023Publication date: February 1, 2024Inventors: Sumit Kumar JHA, Gursewak SINGH, Rithika CARIAPPA, Kiran Rangaswamy AATRE
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Publication number: 20240037741Abstract: A cardiac catheterization image recognition and evaluation method is disclosed. The first deep learning algorithm is used to conduct an object recognition process on the cardiac catheterization image to obtain the vessel object image. The image processing process is conducted to the cardiac catheterization image to obtain the vessel location image. The vessel object image and the vessel location image are combined to obtain the vessel contour image. The vessel type judging process is conducted to the vessel contour image to determine the type of vessel in the cardiac catheterization image. The second deep learning algorithm is used on the vessel contour image to detect the vessel occlusion location and to judge the vessel occlusion rate. Based on the type of vessel and the vessel occlusion rate at the vessel occlusion location, the cardiac catheterization image is evaluated to obtain the SYNTAX Score.Type: ApplicationFiled: July 27, 2023Publication date: February 1, 2024Inventors: Ting-Ying Chien, Hsiao-Huang Chang
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Publication number: 20240037742Abstract: Disclosed herein, inter alia, are methods and systems of image analysis useful for identifying and/or quantifying features in patterns.Type: ApplicationFiled: August 1, 2023Publication date: February 1, 2024Inventor: Fedor Trintchouk
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Publication number: 20240037743Abstract: Systems and methods for predicting viability of one or more embryos is described herein. In some variations, a method may include receiving a single image of the embryo via a real-time communication link with an image capturing device and generating a viability score for the embryo by classifying the single image via at least one convolutional neural network. In some variations, a method may include receiving a plurality of single images, where each single image depicts a different respective embryo of a plurality of embryos, generating a viability score for each embryo by classifying each single image via at least one convolutional neural network, and ranking the plurality of embryos based on the viability scores for the plurality of embryos.Type: ApplicationFiled: August 22, 2023Publication date: February 1, 2024Inventors: Kevin LOEWKE, Mark LOWN, Melissa TERAN, Paxton MAEDER-YORK
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Publication number: 20240037744Abstract: Disclosed herein, inter alia, are methods and systems of image analysis useful for identifying and/or quantifying features in patterns.Type: ApplicationFiled: September 26, 2023Publication date: February 1, 2024Inventors: Fedor Trintchouk, Eli N. Glezer
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Publication number: 20240037745Abstract: A method of tracking movement of particles in bronchus includes obtaining, from a video of the particles, a plurality of processed images, each of which contains a plurality of particle portions representing the particles, and implementing a tracking process for a reference image of the processed images. The tracking process includes, for each particle portion in the reference image, selecting a to-be-compared portion from among the particle portions in a next image immediately following the reference image, obtaining an expected range of movement of the particle represented by the particle portion according to a position of the particle portion, determining whether a corresponding position in the reference image that corresponds to a position of the to-be-compared portion in the next image is within the expected range, and storing the position of the to-be-compared portion into a track record that is associated with the particle when the determination is affirmative.Type: ApplicationFiled: February 22, 2023Publication date: February 1, 2024Inventors: Guan-Yu Chen, Ren-Hao Xie, Shiue-Luen Chen
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Publication number: 20240037746Abstract: The disclosure relates to a method of linking ultrasound image data associated with a medium with other image data associated with the medium. The method comprises: estimating deformability properties of the medium based on the ultrasound data and linking the ultrasound image data with the other image data based on the deformability properties.Type: ApplicationFiled: June 13, 2023Publication date: February 1, 2024Inventors: Christophe FRASCHINI, Bo ZHANG
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Publication number: 20240037747Abstract: A computer implemented system for determining an overall-classifier for one or more source-histological-images. The system comprising: a first tile generator (204) configured to generate a plurality of first-tiles (206; 306) from the one or more source-histological-image (202; 302); and a second tile generator (205) configured to generate a plurality of second-tiles (207; 307) from the one or more source-histological-images (202; 302). The first-area of the first-tiles (206; 306) is larger than the second-area of the second-tiles (207; 307); and the second-resolution of the second-tiles (207; 307) is higher than the first-resolution of the first-tiles (206; 306).Type: ApplicationFiled: September 18, 2020Publication date: February 1, 2024Inventors: Sepp De RAEDT, Ole-Johan SKREDE, Håvard Emil Greger DANIELSEN, Tarjei Sveinsgjerd HVEEM, Andreas KLEPPE, Knut LIESTØL