METHOD AND APPARATUS USING COMPUTATIONAL PATHOLOGY FOR RISK STRATIFICATION OF CANCER
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United States of America
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Issued Date -
Dec 26, 2024
app pub date -
May 1, 2024
filing date -
May 1, 2024
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Abstract
The present disclosure relate to a method. The method includes accessing segmented digitized pathology imaging data from a cancer patient. The segmented digitized pathology imaging data identifies segmented nuclei, segmented mitosis, and segmented tubule regions. A plurality of nuclear features are extracted using the segmented nuclei. A plurality of mitosis features are extracted using the segmented mitosis. A plurality of tubule features are extracted using the segmented tubule regions. A risk score is generated by operating a machine learning model on the plurality of nuclear features, the plurality of mitosis features, and the plurality of tubule features. The risk score correlates to a risk of recurrence of cancer for the cancer patient.
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