Patents Examined by Julius Chai
  • Patent number: 11854168
    Abstract: The method includes generating, for each of a plurality of original images, a first artificially degraded image by applying a first image-artifact-generation logic on each of the original images; and generating the program logic by training an untrained version of a first machine-learning logic that encodes a first artifacts-removal logic on the original images and their respectively generated first degraded images; and returning the trained first machine-learning logic as the program logic or as a component thereof. The first image-artifact-generation logic is A) an image-acquisition-system-specific image-artifact-generation logic or B) a tissue-staining-artifact-generation logic.
    Type: Grant
    Filed: November 10, 2022
    Date of Patent: December 26, 2023
    Assignee: HOFFMANN-LA ROCHE INC.
    Inventor: Eldad Klaiman
  • Patent number: 11836928
    Abstract: A non-transitory computer readable storage medium has instructions executed by a processor to receive an ultrasound image. The ultrasound image is applied to a sequence of encoders where each encoder in the sequence of encoders performs convolution neural network processing of a down-sampled version of the ultrasound image from a prior encoder, the sequence of encoders form a first dimension. The ultrasound image is applied to a transition encoder with an orthogonal dimension to the first dimension. The ultrasound image is applied to a sequence of decoders where each decoder in the sequence of decoders performs convolution neural network processing of an up-sampled version of the ultrasound image from a prior decoder, the sequence of decoders form a second parallel dimension to the first dimension. Encoder and decoder configurations and the first dimension, the orthogonal dimension and the second parallel dimension thereby define a nested U network architecture.
    Type: Grant
    Filed: December 28, 2020
    Date of Patent: December 5, 2023
    Assignee: Exo Imaging, Inc.
    Inventors: Xuebin Qin, Zichen Zhang, Masood Dehghan, Dornoosh Zonoobi
  • Patent number: 11830594
    Abstract: A method for generating a medical report includes receiving patient image data from a user in response to displaying a patient image to the user that is retrieved from a server. The user enters patient image data directly into an image time series template. The patient image data, in one embodiment, pertains to measurements of objects (both target and non-target) of the patient shown in the patient image. Patient image data is then extracted from the image time series template and data is calculated pertaining to an object (e.g., a lesion) in the image based on the extracted data and the location of the extracted data in the image time series template. The calculated results are presented for review by a user. In response to the user approving the results, a report of the results is generated.
    Type: Grant
    Filed: September 16, 2020
    Date of Patent: November 28, 2023
    Assignee: University Radiology Group, LLC
    Inventor: Levi O. Sokol
  • Patent number: 11823379
    Abstract: The present disclosure provides a computer-implemented method, a device, and a computer program product using a user-guided domain adaptation (UGDA) architecture. The method includes training a combined model using a source image dataset by minimizing a supervised loss of the combined model to obtain first sharing weights for a first FCN and second sharing weights for a second FCN; training a discriminator by inputting extreme-point/mask prediction pairs for each of the source image dataset and a target image dataset and by minimizing a discriminator loss to obtain discriminator weights; and finetuning the combined model by predicting extreme-point/mask prediction pairs for the target image dataset to fool the discriminator by matching a distribution of the extreme-point/mask prediction pairs for the target image dataset with a distribution of the extreme-point/mask prediction pairs for the source image dataset.
    Type: Grant
    Filed: December 30, 2020
    Date of Patent: November 21, 2023
    Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
    Inventors: Adam P Harrison, Ashwin Raju
  • Patent number: 11823377
    Abstract: An information processing apparatus includes an image feature acquiring unit configured to acquire first image features and second image features from a medical image and a deriving unit configured to derive image findings of a plurality of items belonging to a first finding type based on the first image features and deriving image findings of a plurality of items belonging to a second finding type different from the first finding type based on the second image features that at least partly differ from the first image features.
    Type: Grant
    Filed: October 13, 2020
    Date of Patent: November 21, 2023
    Assignee: Canon Kabushiki Kaisha
    Inventor: Masami Kawagishi
  • Patent number: 11817203
    Abstract: Ultrasound image devices, systems, and methods are provided. A clinical condition detection system, comprising a communication device in communication with an ultrasound imaging device and configured to receive a sequence of ultrasound image frames representative of a subject body across a time period; and a processor in communication with the communication device and configured to classify the sequence of ultrasound image frames into a first set of clinical characteristics by applying a first predictive network to the sequence of ultrasound image frames to produce a set of classification vectors representing the first set of clinical characteristics; and identify a clinical condition of the subject body by applying a second predictive network to the set of classification vectors.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: November 14, 2023
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Seungsoo Kim, Balasundar Iyyavu Raju
  • Patent number: 11817204
    Abstract: Embodiments discussed herein facilitate determination of whether lesions are benign or malignant. One example embodiment is a method, comprising: accessing medical imaging scan(s) that are each associated with distinct angle(s) and each comprise a segmented region of interest (ROI) of that medical imaging scan comprising a lesion associated with a first region and a second region; providing the first region(s) of the medical imaging scan(s) to trained first deep learning (DL) model(s) of an ensemble and the second region(s) of the medical imaging scan(s) to trained second DL model(s) of the ensemble; and receiving, from the ensemble of DL models, an indication of whether the lesion is a benign architectural distortion (AD) or a malignant AD.
    Type: Grant
    Filed: December 9, 2020
    Date of Patent: November 14, 2023
    Assignees: Case Western Reserve University, The United States Government as Represented by The Department of Veteran Affairs
    Inventors: Anant Madabhushi, Nathaniel Braman, Tristan Maidment, Yijiang Chen
  • Patent number: 11816753
    Abstract: Systems and methods are provided for provided for automatic evaluation of a human embryo. An image of the embryo is obtained and provided to a neural network to generate a plurality of values representing the morphology of the embryo. The plurality of values representing the morphology of the embryo are evaluated at an expert system to provide an output class representing one of a current quality of the embryo, a future quality of the embryo, a likelihood that implantation of the embryo will be successful, and a likelihood that implantation of the embryo will result in a live birth.
    Type: Grant
    Filed: April 12, 2022
    Date of Patent: November 14, 2023
    Assignees: THE BRIGHAM AND WOMEN'S HOSPITAL, INC., THE GENERAL HOSPITAL CORPORATION
    Inventors: Hadi Shafiee, Charles Bormann, Manoj Kumar Kanakasabapathy, Prudhvi Thirumalaraju
  • Patent number: 11798160
    Abstract: A method of screening for a cancer in a patient, an integrated method of screening for a cancer in a patient, a computer program product for carrying out the methods, as well as a medical imaging apparatus for carrying out the methods are disclosed. Based upon the above, it is possible that the patient will obtain a more reliable result from a first medical imaging treatment.
    Type: Grant
    Filed: March 7, 2019
    Date of Patent: October 24, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Raimund Martin, Wieland Voigt
  • Patent number: 11786309
    Abstract: A system and method for facilitating DBS electrode trajectory planning using a machine learning (ML)-based feature identification scheme configured to identify and distinguish between various regions of interest (ROIs) and regions of avoidance (ROAs) in a patient's brain scan image. In one arrangement, standard orientation image slices as well as re-sliced images in non-standard orientations are provided in a labeled input dataset for training a CNN/ANN for distinguishing between ROIs and ROAs. Upon identification of the ROIs and ROAs in the patient's brain scan image, an optimal trajectory for implanting a DBS lead may be determined relative to a particular ROI while avoiding any ROAs.
    Type: Grant
    Filed: December 28, 2020
    Date of Patent: October 17, 2023
    Assignee: ADVANCED NEUROMODULATION SYSTEMS, INC.
    Inventors: Yagna Pathak, Simeng Zhang, Dehan Zhu, Anahita Kyani, Hyun-Joo Park, Erika Ross
  • Patent number: 11790528
    Abstract: A preoperative survival prediction method and a computing device applying the method include constructing a data seta according to a plurality of enhanced medical images and a resection margin of each enhanced medical image and obtaining a plurality of training data sets from the constructed data set. For each training data set, multi-task prediction models are trained. A target multi-task prediction model is selected from the plurality, and a resection margin prediction value and a survival risk prediction value are obtained by predicting an enhanced medical image to be measured through the target multi-task prediction model. The multi-task prediction model more effectively captures the changes over time of the tumor in multiple stages, so as to enable a joint prediction of a resection margin prediction value and a survival risk prediction value.
    Type: Grant
    Filed: February 2, 2021
    Date of Patent: October 17, 2023
    Assignee: Ping An Technology (Shenzhen) Co., Ltd.
    Inventors: Jiawen Yao, Ling Zhang, Le Lu
  • Patent number: 11763474
    Abstract: A method for generating simulated point cloud data, a device, and a storage medium includes: acquiring at least one frame of point cloud data collected by a road collecting device in an actual environment without a dynamic obstacle as static scene point cloud data; setting, least one dynamic obstacle in a coordinate system matching the static scene point cloud data; simulating in the coordinate system, a plurality of simulated scanning lights emitted by a virtual scanner located at an origin of the coordinate system; updating the static scene point cloud data according to intersections of the plurality of simulated scanning lights and the at least one dynamic obstacle to obtain the simulated point cloud data comprising point cloud data of the dynamic obstacle; and at least one of adding a set noise to the simulated point cloud data, and, deleting point cloud data corresponding to the dynamic obstacle according to a set ratio.
    Type: Grant
    Filed: July 27, 2021
    Date of Patent: September 19, 2023
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Feilong Yan, Jin Fang, Tongtong Zhao, Chi Zhang, Liang Wang, Yu Ma, Ruigang Yang
  • Patent number: 11748883
    Abstract: A colon polyp image processing method is provided. A value of a blood vessel color feature in an endoscopic image is classified by using an image classification model trained using a neural network algorithm to determine that the endoscopic image is a white light type picture or an endoscope narrow band imaging (NBI) type picture. A polyp in the endoscopic image is detected by using a polyp positioning model based on the determination that the endoscopic image is the white light type picture or the NBI type picture. A polyp type classification detection is performed on the detected polyp in the endoscopic image by using a polyp property identification model, and outputting an identification result.
    Type: Grant
    Filed: August 10, 2022
    Date of Patent: September 5, 2023
    Assignee: Tencent Technology (Shenzhen) Company Limited
    Inventors: Xinghui Fu, Zhongqian Sun, Hong Shang, Zijian Zhang, Wei Yang
  • Patent number: 11734820
    Abstract: A medical image processing device having a processor configured to: acquire a medical image including an image of a subject; perform a first recognition of the medical image using a first recognizer; determine a confidence level for a recognition result of a first recognition by the first recognition; and perform a second recognition of the medical image using a second recognizer according to the confidence level for the recognition result of the first recognition, the second recognition having higher recognition accuracy than the first recognition.
    Type: Grant
    Filed: December 6, 2021
    Date of Patent: August 22, 2023
    Assignee: FUJIFILM Corporation
    Inventor: Masaaki Oosake
  • Patent number: 11715004
    Abstract: A method comprising: receiving observed data points each comprising a vector of feature values, wherein for each data point, the respective feature values are values of different features of a feature vector. Each observed data point represents a respective observation of a ground truth as observed in the form of the respective values of the feature vector. The method further comprises learning parameters of a machine-learning model based on the observed data points. The machine-learning model comprises one or more statistical models arranged to model a causal relationship between the feature vector and a latent vector, a classification, and a manipulation vector. The manipulation vector represents an effect of potential manipulations occurring between the ground truth and the observation thereof as observed via the feature vector. The learning comprises learning parameters of the one or more statistical models to map between the feature vector, latent vector, classification and manipulation vector.
    Type: Grant
    Filed: July 10, 2019
    Date of Patent: August 1, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Cheng Zhang, Yingzhen Li
  • Patent number: 11710552
    Abstract: A method for refining label information, which is performed by at least one computing device is disclosed. The method includes acquiring a pathology slide image including a plurality of patches, inferring a plurality of label information items for the plurality of patches included in the acquired pathology slide image using a machine learning model, applying the inferred plurality of label information items to the pathology slide image, and providing the pathology slide image applied with the inferred plurality of label information items to an annotator terminal.
    Type: Grant
    Filed: November 20, 2020
    Date of Patent: July 25, 2023
    Assignee: LUNIT INC.
    Inventor: Chunseong Park
  • Patent number: 11704794
    Abstract: There is provided a filing device, a filing method, and a program that cause a still image and a motion image to be associated with each other, which are captured without being associated with each other. The problem is solved through a filing device including an acquisition unit that acquires at least one still image and at least one motion image, a still image analysis unit that analyzes a pixel value of the still image and extracts still image information, a motion image analysis unit that analyzes a pixel value of the motion image and extracts motion image information, and an associating unit that associates the still image with the motion image by comparing the still image information with the motion image information.
    Type: Grant
    Filed: July 29, 2020
    Date of Patent: July 18, 2023
    Assignee: FUJIFILM Corporation
    Inventors: Masaaki Oosake, Shumpei Kamon
  • Patent number: 11701066
    Abstract: A method for performing a computer-aided diagnosis (CAD) includes: acquiring a medical image set; generating a three-dimensional (3D) tumor distance map corresponding to the medical image set, each voxel of the tumor distance map representing a distance from the voxel to a nearest boundary of a primary tumor present in the medical image set; and performing neural-network processing of the medical image set to generate a predicted probability map to predict presence and locations of oncology significant lymph nodes (OSLNs) in the medical image set, wherein voxels in the medical image set are stratified and processed according to the tumor distance map.
    Type: Grant
    Filed: November 11, 2020
    Date of Patent: July 18, 2023
    Assignee: PING AN TECHNOLOGY (SHENZHEN) CO., LTD.
    Inventors: Ke P Yan, Zhuotun Zhu, Dakai Jin, Jinzheng Cai, Adam P Harrison, Dazhou Guo, Le Lu
  • Patent number: 11676703
    Abstract: Embodiments discussed herein facilitate building and/or employing model(s) for determining tumor prognoses based on a combination of radiomic features and pathomic features. One example embodiment can perform actions comprising: providing, to a first machine learning model, at least one of: one or more intra-tumoral radiomic features associated with a tumor or one or more peri-tumoral radiomic features associated with a peri-tumoral region around the tumor; receiving a first predicted prognosis associated with the tumor from the first machine learning model; providing, to a second machine learning model, one or more pathomic features associated with the tumor; receiving a second predicted prognosis associated with the tumor from the second machine learning model; and generating a combined prognosis associated with the tumor based on the first predicted prognosis and the second predicted prognosis.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: June 13, 2023
    Assignee: Case Western Reserve University
    Inventors: Pranjal Vaidya, Anant Madabhushi, Kaustav Bera
  • Patent number: 11669970
    Abstract: Systems, apparatuses, and methods for diagnosing ureteropelvic junction obstruction. A set of biomarkers may be extracted from each of one or more time-activity curves associated with diuresis renography and/or functional magnetic resonance urography of one or more kidneys of a patient. One or more calculations can be performed based on the set of biomarkers to identify uretero-pelvic junction obstruction and a classification of severity or criticality thereof.
    Type: Grant
    Filed: April 9, 2018
    Date of Patent: June 6, 2023
    Assignee: Children's National Medical Center
    Inventors: Marius George Linguraru, Emily S. Blum, Antonio Reyes Porras Perez, Hans G. Pohl