- 专利标题： Deep learning models for region-of-interest determination
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申请号： US17381675申请日： 2021-07-21
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公开(公告)号： US11948687B2公开(公告)日： 2024-04-02
- 发明人: Mustafa I. Jaber , Liudmila A. Beziaeva , Bing Song , Christopher W. Szeto , Stephen Charles Benz , Shahrooz Rabizadeh
- 申请人： NantOmics, LLC , NantHealth, Inc. , NantCell, Inc.
- 申请人地址： US CA Culver City
- 专利权人： NantCell, Inc.,NantHealth, Inc.,NantOmics, LLC
- 当前专利权人： NantCell, Inc.,NantHealth, Inc.,NantOmics, LLC
- 当前专利权人地址： US CA Culver City; US CA Culver City; US CA Culver City
- 代理机构： Harness Dickey & Pierce P.L.C.
- 主分类号： G16H50/20
- IPC分类号： G16H50/20 ; G06N3/08 ; G06T7/00 ; G06T7/11
摘要：
A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.
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