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公开(公告)号:US20240346804A1
公开(公告)日:2024-10-17
申请号:US18612987
申请日:2024-03-21
Applicant: Genentech, Inc.
Inventor: Jeffrey Ryan EASTHAM , Hartmut KOEPPEN , Xiao LI , Darya Yuryevna ORLOVA
IPC: G06V10/764 , G06T7/00 , G06V10/25
CPC classification number: G06V10/764 , G06T7/0012 , G06V10/25 , G06T2207/20081 , G06T2207/30096
Abstract: Described herein are systems, methods, and programming describing various pipelines for determining an immunophenotype of a tumor depicted by a digital pathology image based on immune cell density in the tumor epithelium and/or the tumor stroma and/or spatial information across all or part of the image. One or more machine learning models may be implemented by some or all of the pipelines. The pipelines may include a first pipeline using density thresholds for immunophenotyping, a second pipeline using immune cell density in tumor epithelium and tumor stroma for immunophenotyping, a third pipeline using spatial information of the digital pathology image for immunophenotyping, and a fourth pipeline that combines aspects of the second and third pipelines for immunophenotyping.
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公开(公告)号:US20240046671A1
公开(公告)日:2024-02-08
申请号:US18491609
申请日:2023-10-20
Applicant: Genentech, Inc.
Inventor: Xiao LI , Darya Yuryevna ORLOVA , Joaquin PECHUAN JORGE , Rajiv Edillon JESUDASON
CPC classification number: G06V20/698 , G06T7/11 , G06T2207/10056
Abstract: A method for high dimensional spatial analysis includes segmenting, into a plurality of segments, an image depicting a plurality of cells comprising a biological sample. Each segment of the plurality of segments may correspond to one cell of the plurality of cells. A phenotype for each cell of the plurality of cells depicted in the image may be determined based on the segmented image. The determining of the phenotype may include identifying, within the plurality of cells, a first cell type having a first phenotype and a second cell type having a second phenotype. One or more metrics, such as a colocation quotient or an Earth Mover's Distance, quantifying a co-occurrence pattern between the first cell type and the second cell type may be determined. A visual representation of the co-occurrence pattern between the first cell type and the second cell type may be generated based on the metric.
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