公开(公告)号：US11961609B2

公开(公告)日：2024-04-16

申请号：US17383724

申请日：2021-07-23

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Yi Fan Hu ,  Ye Feng Zheng

IPC: G06V10/764 ,  G06F18/21 ,  G06F18/214 ,  G06F18/24 ,  G06F18/25 ,  G06N3/08 ,  G06V10/44 ,  G06V10/80 ,  G06V10/82 ,  G16H30/20 ,  G16H30/40

CPC classification number: G16H30/40 ,  G06F18/214 ,  G06F18/217 ,  G06F18/24 ,  G06F18/253 ,  G06N3/08 ,  G06V10/454 ,  G06V10/764 ,  G06V10/806 ,  G06V10/82 ,  G16H30/20 ,  G06V2201/03

Abstract: The disclosure provides a three-dimensional (3D) image classification method and apparatus, a device, and a storage medium. The method includes: obtaining a 3D image, the 3D image including first-dimensional image information, second-dimensional image information, and third-dimensional image information; extracting a first image feature corresponding to planar image information from the 3D image; extracting a second image feature corresponding to the third-dimensional image information from the 3D image; fusing the first image feature and the second image feature, to obtain a fused image feature corresponding to the 3D image; and determining a classification result corresponding to the 3D image according to the fused image feature corresponding to the 3D image.

公开(公告)号：US11961606B2

公开(公告)日：2024-04-16

申请号：US16695642

申请日：2019-11-26

Applicant: Blackford Analysis Ltd.

Inventor： Robert John Tweedie ,  Paul Henderson ,  Keith Houston

IPC: G16H30/20 ,  G06F16/14 ,  G06F40/40 ,  G16H10/20 ,  G16H30/00 ,  G16H30/40 ,  G16H40/00 ,  G16H80/00 ,  H04L67/12 ,  G16H10/60

CPC classification number: G16H30/20 ,  G06F16/14 ,  G06F40/40 ,  G16H10/20 ,  G16H30/00 ,  G16H30/40 ,  G16H40/00 ,  H04L67/12 ,  G06T2210/41 ,  G06V2201/03 ,  G16H10/60 ,  G16H80/00

Abstract: A system and method for processing a plurality of medical images using a plurality of clinical applications. A current study is received by a first server, the current study having first image series metadata. The first server can determine, based on several different techniques, that the current study is in progress. The system and method generates an assembled study set comprising the current study that is processed using a clinical application, the current study having a first series and a second series.

公开(公告)号：US20240119726A1

公开(公告)日：2024-04-11

申请号：US18544528

申请日：2023-12-19

Applicant: NEC Corporation

Inventor： Ikuma TAKAHASHI ,  Tatsu KIMURA ,  Kimiyasu TAKOH ,  Kenichi KAMIJO ,  Hiroyasu SAIGA ,  Shota OHTSUKA ,  Motoyasu OKUTSU

IPC: G06V10/98 ,  A61B1/00 ,  G06T7/00 ,  G06T11/20

CPC classification number: G06V10/987 ,  A61B1/00006 ,  A61B1/00009 ,  A61B1/0005 ,  A61B1/00055 ,  G06T7/0016 ,  G06T11/206 ,  A61B1/0004 ,  G06T2200/24 ,  G06T2207/10068 ,  G06T2207/20092 ,  G06T2207/30096 ,  G06V2201/03

Abstract: An information processing device includes: a first acquisition unit configured to acquire a capturing time of a lesion image instructed to be saved by a user, from a series of images captured by an endoscope during examination with the endoscope; a second acquisition unit configured to acquire a capturing time of a lesion image detected by detection processing for the series of images captured by the endoscope during the examination; and a display control unit configured to cause a display device to display a first capturing time and a second capturing time which are plotted on a time axis, the first capturing time being the capturing time acquired by the first acquisition unit, the second capturing time being the capturing time acquired by the second acquisition unit.

公开(公告)号：US11954178B2

公开(公告)日：2024-04-09

申请号：US17462140

申请日：2021-08-31

Applicant: Siemens Healthcare GmbH

Inventor： Alexander Muehlberg ,  Oliver Taubmann ,  Alexander Katzmann ,  Felix Durlak ,  Michael Wels ,  Felix Lades ,  Rainer Kaergel ,  Michael Suehling

IPC: G06F18/2433 ,  G06F18/21 ,  G06F18/245 ,  G06T7/00

CPC classification number: G06F18/2433 ,  G06F18/2193 ,  G06F18/245 ,  G06T7/0012 ,  G06T2207/20076 ,  G06V2201/03

Abstract: A computer-implemented method is for providing radiomics-related information. In an embodiment, the computer-implemented method includes receiving radiomics-related data; determining, based on the radiomics-related data and an assistance algorithm, a function for processing the radiomics-related data; calculating, based on the radiomics-related data and the function for processing the radiomics-related data, the radiomics-related information; and providing the radiomics-related information.

公开(公告)号：US20240112329A1

公开(公告)日：2024-04-04

申请号：US17959627

申请日：2022-10-04

Applicant: HeHealth PTE Ltd.

Inventor： Sembukuttige Yudara Madusanka KULARATHNE ,  Mathugamavithanage Dilruk Dasantha PERERA

IPC: G06T7/00 ,  G06V10/24 ,  G06V10/30 ,  G06V10/46 ,  G06V10/774

CPC classification number: G06T7/0012 ,  G06V10/24 ,  G06V10/30 ,  G06V10/462 ,  G06V10/774 ,  G06T2207/20081 ,  G06T2207/30088 ,  G06V2201/03

Abstract: Disclosed herein are system, method, and computer program product embodiments for distinguishing a disease state from a non-disease state in an image. An embodiment operates by receiving an image of a target area over a network. The embodiment then corrects for background noise in the image by applying a semantic segmentation filter to obtain a segmented image. The sematic segmentation filter may be trained to remove the background noise from the image. The embodiment then determines, using a trained artificial intelligence (AI) model and the segmented image, at least one classification for the target area. The embodiment finally causes the display of the at least one classification and disease information on a user device associated with a user. The trained AI model may be trained using at least augmented images obtained from a set of images to correct for at least an imbalance in the set of images.

公开(公告)号：US11948341B2

公开(公告)日：2024-04-02

申请号：US17388474

申请日：2021-07-29

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Ryo Hirano

IPC: G06K9/00 ,  G06F18/22 ,  G06T7/00 ,  G06V10/20 ,  G06V10/28 ,  G06V10/50 ,  G16H30/40 ,  G16H50/20 ,  G06V10/75

CPC classification number: G06V10/255 ,  G06F18/22 ,  G06T7/0014 ,  G06V10/28 ,  G06V10/507 ,  G16H30/40 ,  G16H50/20 ,  G06V10/759 ,  G06V2201/03

Abstract: A medical information processing apparatus according to an embodiment includes a storage and processing circuitry. The storage is configured to store therein, for each point of a frequency space represented by a plurality of pieces of first frequency component data acquired by applying frequency conversion to data inside regions of interest set to medical images, characteristic data representing a tendency of spectral values that appear at the point. The processing circuitry is configured to acquire second frequency component data by applying frequency conversion to a medical image to be processed, to determine similarity of a spectral value at each point of a frequency space represented by the second frequency component data, with the characteristic data, and to designate a target area in the frequency space represented by the second frequency component data based on the result of the determination.

公开(公告)号：US20240104731A1

公开(公告)日：2024-03-28

申请号：US18475387

申请日：2023-09-27

Applicant: Alcon Inc.

Inventor： Vignesh Suresh ,  Lu Yin ,  Ramesh Sarangapani

IPC: G06T7/00 ,  A61B3/14 ,  G06V10/48 ,  G16H30/40

CPC classification number: G06T7/0012 ,  A61B3/14 ,  G06V10/48 ,  G16H30/40 ,  G06T2207/10101 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06V2201/03

Abstract: In certain embodiments, a system, a computer-implemented method, and computer-readable medium are disclosed for performing integrated analysis of MSI and OCT images to diagnose eye disorders. MSI and OCT are processed using separate input machine learning models to create input feature maps that are input to an intermediate machine learning model. The intermediate machine learning model processes the input feature maps and outputs a final feature map that is processed by one or more output machine learning models that output one or more estimated representations of a pathology of the eye of the patient.

公开(公告)号：US20240090948A1

公开(公告)日：2024-03-21

申请号：US18370377

申请日：2023-09-19

Applicant: Siemens Healthcare GmbH

Inventor： Marcus Pfister ,  Philipp Roser

IPC: A61B34/10 ,  G06V40/10 ,  G16H30/20

CPC classification number: A61B34/10 ,  G06V40/10 ,  G16H30/20 ,  A61B2034/102 ,  A61B2034/105 ,  G06V2201/03

Abstract: A method for providing a collision model includes detecting an item of patient information that has an item of information on a spatial placement of an entry point of a medical object into an object undergoing examination. The item of patient information is registered with a movable medical device. The method also includes detecting an item of object information that has an item of information on a geometry and spatial position of a manipulator for moving the medical object. The manipulator includes a motion device and/or a member of technical medical personnel. A relative placement of the manipulator in relation to the object undergoing examination is determined based on the item of patient information and the item of object information. The collision model is provided for the purpose of moving the medical device based on the relative placement and the item of object information.

公开(公告)号：US20240090760A1

公开(公告)日：2024-03-21

申请号：US18262003

申请日：2022-01-19

Applicant: Singapore Health Services Pte Ltd ,  Nanyang Technological University

Inventor： Leopold SCHMETTERER ,  Wing Kee Damon WONG ,  Ai Ping YOW

IPC: A61B3/00 ,  A61B3/10 ,  A61B3/12 ,  G06T7/00 ,  G06T7/11 ,  G06V10/25 ,  G16H50/20

CPC classification number: A61B3/0025 ,  A61B3/102 ,  A61B3/1233 ,  G06T7/0012 ,  G06T7/11 ,  G06V10/25 ,  G16H50/20 ,  G06T2207/10101 ,  G06T2207/20084 ,  G06T2207/30041 ,  G06T2207/30101 ,  G06V2201/03

Abstract: The invention relates to a system of detecting vasculature in optical coherence tomography (OCT) image data of a tissue of a subject, the OCT image data comprising OCT scan data and OCT angiography (OCTA) scan data, the system comprises segmenting the OCT scan data to locate a layer of interest in the tissue; generating an en face vascular network map from the OCTA scan data; projecting one or more vascular regions from the en face vascular network map onto the layer of interest in a cross-sectional image of the OCT scan data to define one or more regions of interest (ROIs), wherein respective ROIs are defined by the intersection between the vascular regions and the layer of interest; and identifying vascular objects in the one or more ROIs. In the preferred embodiment, the tissue is retina, vessels are removed from the layer of interest and the retinal nerve fibre layer (RNFL) thickness is determined.

公开(公告)号：US11935230B2

公开(公告)日：2024-03-19

申请号：US17237160

申请日：2021-04-22

Applicant: Siemens Healthineers AG

Inventor： Philipp Hölzer ,  Richard Frank ,  Sebastian Schmidt ,  Jonathan Sperl

IPC: G06K9/62 ,  G06F18/21 ,  G06F18/2433 ,  G06N5/04 ,  G06N20/00 ,  G06T7/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20

CPC classification number: G06T7/0012 ,  G06F18/2163 ,  G06F18/2433 ,  G06N5/04 ,  G06N20/00 ,  G16H30/20 ,  G16H30/40 ,  G16H40/20 ,  G06V2201/03

Abstract: A system and method for identifying abnormal medical images. The system can be configured to receive a medical image, segment an anatomical structure from the medical image to define a segmented dataset, register the segmented dataset to a baseline dataset defining a normal anatomical structure, classify, by an abnormality classifier, whether the anatomical structure within the medical image as either abnormal or normal, wherein the abnormality classifier comprises a machine learning algorithm trained to distinguish between normal and abnormal versions of the anatomical structure in medical images, and based on whether the anatomical structure can be segmented from the medical image, whether the segmented dataset can be registered to the baseline dataset, or a classification associated with the medical image output by the abnormality classifier, flagging the medical image as either normal or abnormal.