PIPELINES FOR TUMOR IMMUNOPHENOTYPING
    8.
    发明公开

    公开(公告)号:US20240346804A1

    公开(公告)日:2024-10-17

    申请号:US18612987

    申请日:2024-03-21

    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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