公开(公告)号：US20240312014A1

公开(公告)日：2024-09-19

申请号：US18209830

申请日：2023-06-14

申请人： National Yang Ming Chiao Tung University ,  Kaohsiung Chang Gung Memorial Hospital

发明人： Yong-Sheng CHEN ,  Wei-Che Lin ,  Shih-Yen Lin ,  Hsiang-Chun Yang ,  YU-LIN YEH ,  Evelyne Calista ,  Pi-Ling Chiang

IPC分类号： G06T7/00 ,  G06T7/11 ,  G06T7/174 ,  G06V10/24 ,  G06V10/42 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20

CPC分类号： G06T7/0014 ,  G06T7/11 ,  G06T7/174 ,  G06V10/245 ,  G06V10/42 ,  G06V10/764 ,  G06V10/82 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06T2207/30104 ,  G06V2201/031

摘要： In an automated detection system for acute ischemic stroke, a preprocessor performs registration on a whole-brain image and a standard-brain spatial template to extract individual brain region masks from the whole-brain image. A deep learning encoder performs feature extraction on the whole-brain image and the individual brain region masks, thereby converting the whole-brain image into 2D whole-brain slice images. A first processor maps the individual brain masks onto the whole-brain slice images for registration, thereby generating sets of brain region slice images. A second processor computes the stroke-related weight values of the slice images of each of the sets of brain region slice images and sums the weight values to obtain the characteristic value of each brain region. A disparity-aware classifier determines whether any brain region has acute ischemic stroke according to the characteristic value of each brain region.

公开(公告)号：US12089915B2

公开(公告)日：2024-09-17

申请号：US18554680

申请日：2021-05-10

申请人： HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY

发明人： Xuming Zhang ,  Tuo Wang

IPC分类号： A61B5/055 ,  A61B5/00 ,  G06N3/084 ,  G06T7/00 ,  G06V10/764 ,  G06V10/82

CPC分类号： A61B5/004 ,  A61B5/055 ,  A61B5/7267 ,  G06N3/084 ,  G06T7/0012 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30081 ,  G06V10/764 ,  G06V10/82 ,  G06V2201/031

摘要： The present invention discloses a method and a system for prostate multi-modal MR image classification based on a foveated residual network, the method comprising: replacing convolution kernels of a residual network using blur kernels in a foveation operator, thereby constructing a foveated residual network; training the foveated residual network using prostate multi-modal MR images having category labels, to obtain a trained foveated residual network; and classifying, using the foveated residual network, a prostate multi-modal MR image to be classified, so as to obtain a classification result. In the present invention, a foveation operator is designed based on human visual characteristics, blur kernels of the operator are extracted and used to replace convolution kernels in a residual network, thereby constructing a foveated deep learning network which can extract features that conform to the human visual characteristics, thereby improving the classification accuracy of prostate multi-modal MR images.

公开(公告)号：US20240260920A1

公开(公告)日：2024-08-08

申请号：US18591726

申请日：2024-02-29

申请人： Cleerly, Inc.

发明人： James K. Min

IPC分类号： A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC分类号： A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

摘要： Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US12053290B2

公开(公告)日：2024-08-06

申请号：US17211855

申请日：2021-03-25

申请人： FUJIFILM Corporation

发明人： Takuya Yuzawa

IPC分类号： A61B5/00 ,  G06F3/0486 ,  G06F3/14 ,  G06F18/2431 ,  A61B5/055 ,  A61B6/03 ,  A61B6/50

CPC分类号： A61B5/4064 ,  A61B5/7264 ,  G06F3/0486 ,  G06F3/14 ,  G06F18/2431 ,  A61B5/0042 ,  A61B5/055 ,  A61B6/032 ,  A61B6/037 ,  A61B6/501 ,  G06V2201/031

摘要： The brain atlas creation apparatus includes: an image acquisition unit that acquires a brain image; a section setting unit that classifies a brain area in the brain image acquired by the image acquisition unit into a plurality of layers from a major category which is a higher layer to a minor category which is a lower layer and sets a brain section for each category; and a display control unit that performs control to switch the brain image for each category classified by the section setting unit and to display the brain image on a display unit.

公开(公告)号：US20240225589A1

公开(公告)日：2024-07-11

申请号：US18560302

申请日：2022-05-24

申请人： DESKI

发明人： Olivier MOAL ,  Bertrand MOAL ,  Emilie ROGER

IPC分类号： A61B8/08 ,  A61B8/00 ,  G06T7/00 ,  G06V10/764 ,  G06V10/82

CPC分类号： A61B8/0883 ,  A61B8/463 ,  A61B8/5269 ,  G06T7/0012 ,  G06V10/764 ,  G06V10/82 ,  G06T2207/10132 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30048 ,  G06T2207/30168 ,  G06V2201/031

摘要： A device to receive in real time ultrasound images acquired by an ultrasound probe, includes a first calculator for implementing a classifier to classify in real time the received ultrasound images and to associate each image with a class for generating a quality indicator as a function of the associated class, a display for displaying the received ultrasound images and the last generated quality indicator, and a second calculator configured to, when a sequence of a predefined number of received images includes a rate of images associated with a same class greater than a predefined rate, automatically record the sequence of images, and to generate and display, on the display, a time indicator representing a number of remaining images to be received to reach the sequence of a predefined number of received images including a rate of images associated with a same class greater than a predefined rate.

公开(公告)号：US20240212134A1

公开(公告)日：2024-06-27

申请号：US18086372

申请日：2022-12-21

申请人： GE Precision Healthcare LLC

发明人： Svein Arne Aase ,  Kai-Uwe Lempertz

IPC分类号： G06T7/00 ,  A61B8/00 ,  G06V10/26

CPC分类号： G06T7/0012 ,  A61B8/463 ,  A61B8/54 ,  G06V10/26 ,  G06T2207/10132 ,  G06T2207/30048 ,  G06V2201/031

摘要： A system and method for providing an objective image quality metric of an image loop of ultrasound images after acquisition of the image loop and prior to permanently storing the image loop is provided. The method includes performing, by an ultrasound probe of an ultrasound system, an acquisition of an image loop of a plurality of ultrasound images. The method includes stop performing the acquisition by the ultrasound probe of the image loop of the plurality of ultrasound images. The method includes processing, by at least one processor of the ultrasound system after the stop performing the acquisition by the ultrasound probe, the image loop of the plurality of ultrasound images to generate an objective image quality metric. The method includes causing, by the at least one processor, a display system to present a visual representation of the objective image quality metric.

公开(公告)号：US20240197279A1

公开(公告)日：2024-06-20

申请号：US18592175

申请日：2024-02-29

申请人： Cleerly, Inc.

发明人： James K. Min

IPC分类号： A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC分类号： A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

摘要： Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240197278A1

公开(公告)日：2024-06-20

申请号：US18592103

申请日：2024-02-29

申请人： Cleerly, Inc.

发明人： James K. Min

IPC分类号： A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC分类号： A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

摘要： Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240197275A1

公开(公告)日：2024-06-20

申请号：US18591954

申请日：2024-02-29

申请人： Cleerly, Inc.

发明人： James K. Min

IPC分类号： A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T7/00 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20

CPC分类号： A61B6/5217 ,  A61B6/032 ,  A61B6/503 ,  A61B6/504 ,  A61B6/507 ,  A61B6/5229 ,  G06T7/0012 ,  G06T7/62 ,  G06V10/22 ,  G06V10/26 ,  G16H30/40 ,  G16H50/20 ,  G06T2207/10081 ,  G06T2207/20076 ,  G06T2207/30048 ,  G06T2207/30104 ,  G06V2201/031

摘要： Various embodiments described herein relate to systems, devices, and methods for non-invasive image-based plaque analysis and risk determination. In particular, in some embodiments, the systems, devices, and methods described herein are related to analysis of one or more regions of plaque, such as for example coronary plaque, using non-invasively obtained images that can be analyzed using computer vision or machine learning to identify, diagnose, characterize, treat and/or track coronary artery disease.

公开(公告)号：US20240169671A1

公开(公告)日：2024-05-23

申请号：US18510781

申请日：2023-11-16

申请人： CANON MEDICAL SYSTEMS CORPORATION

发明人： Gakuto AOYAMA

IPC分类号： G06T17/20 ,  G06T7/60 ,  G06T7/70 ,  G06V20/50 ,  G16H40/63 ,  G16H50/50

CPC分类号： G06T17/20 ,  G06T7/60 ,  G06T7/70 ,  G06V20/50 ,  G16H40/63 ,  G16H50/50 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/30004 ,  G06T2210/41 ,  G06T2210/56 ,  G06V2201/031

摘要： A medical information processing apparatus according to an embodiment includes processing circuitry that is configured to acquire medical image data that includes a target organ, acquire grid point cloud data that is associated with the medical image data and that is related to the target organ, display the medical image data, and that identify an attention grid included in the grid point cloud data on the basis of a display condition of the medical image data.