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公开(公告)号:US11978198B2
公开(公告)日:2024-05-07
申请号:US16857495
申请日:2020-04-24
发明人: Akimichi Ohsaka , Yoko Tabe , Konobu Kimura
IPC分类号: G06T7/00 , G01N15/10 , G01N15/14 , G01N15/1429 , G06N3/045 , G06N3/08 , G06N20/20 , G06V10/82 , G16H10/40 , G16H30/40 , G16H50/20 , G16H50/70
CPC分类号: G06T7/0012 , G01N15/1429 , G01N15/1475 , G06N3/045 , G06N3/08 , G06N20/20 , G06V10/82 , G16H10/40 , G16H30/40 , G16H50/20 , G16H50/70 , G01N2015/1006
摘要: Disclosed is a method for supporting disease analysis, the method including classifying, on the basis of images obtained from a plurality of analysis target cells contained in a specimen collected from a subject, a morphology of each analysis target cell, and obtaining cell morphology classification information corresponding to the specimen, on the basis of a result of the classification; and analyzing a disease of the subject by means of a computer algorithm, on the basis of the cell morphology classification information.
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公开(公告)号:US11830188B2
公开(公告)日:2023-11-28
申请号:US17398850
申请日:2021-08-10
发明人: Akimichi Ohsaka , Yoko Tabe , Konobu Kimura
IPC分类号: G06T7/00 , G06N3/08 , G06V20/69 , G06F18/214 , G06F18/2431 , G06V10/764 , G06V10/82 , G06V10/44
CPC分类号: G06T7/0012 , G06F18/2148 , G06F18/2431 , G06N3/08 , G06V10/449 , G06V10/764 , G06V10/82 , G06V20/698 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084
摘要: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
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公开(公告)号:US11093729B2
公开(公告)日:2021-08-17
申请号:US16406523
申请日:2019-05-08
发明人: Akimichi Ohsaka , Yoko Tabe , Konobu Kimura
摘要: Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group.
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