- 专利标题: COMPUTED TOMOGRAPHY MEDICAL IMAGING STROKE MODEL
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申请号: US16588013申请日: 2019-09-30
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公开(公告)号: US20210093258A1公开(公告)日: 2021-04-01
- 发明人: John Francis Kalafut , Bernardo Bizzo , Romane Gauriau , Michael Lev , Mark Heinz Michalski
- 申请人: GE Precision Healthcare LLC , Partners HealthCare System, Inc. , The General Hospital Corporation , The Brigham and Women's Hospital, Inc.
- 申请人地址: US WI Milwaukee; US MA Boston; US MA Boston; US MA Boston
- 专利权人: GE Precision Healthcare LLC,Partners HealthCare System, Inc.,The General Hospital Corporation,The Brigham and Women's Hospital, Inc.
- 当前专利权人: GE Precision Healthcare LLC,Partners HealthCare System, Inc.,The General Hospital Corporation,The Brigham and Women's Hospital, Inc.
- 当前专利权人地址: US WI Milwaukee; US MA Boston; US MA Boston; US MA Boston
- 主分类号: A61B6/03
- IPC分类号: A61B6/03 ; G06N20/00 ; A61B6/00 ; G06N3/08
摘要:
Systems and techniques for generating and/or employing a computed tomography (CT) medical imaging stroke model are presented. In one example, a system employs a convolutional neural network to generate learned medical imaging stroke data regarding a brain anatomical region based on CT data associated with the brain anatomical region and diffusion-weighted imaging (DWI) data associated with one or more segmentation masks for the brain anatomical region. The system also detects presence or absence of a medical stroke condition in a CT image based on the learned medical imaging stroke data.
公开/授权文献
- US11331056B2 Computed tomography medical imaging stroke model 公开/授权日:2022-05-17
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