CPC G06V 20/695 (2022.01) [G06F 18/2431 (2023.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/194 (2017.01); G06V 20/698 (2022.01); G16H 30/40 (2018.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] | 19 Claims |
1. A computer-implemented method for identifying a specimen category, comprising:
receiving one or more digital images of a cytology specimen at a digital storage device;
isolating one or more cell images using the one or more digital images by isolating a set of individual images of cells within the one or more digital images using a segmentation system and/or a detection system;
extracting at least one cell patch from the one or more digital images;
identifying the at least one cell patch as belonging to either cell or background;
extracting one or more cellular features using the cell images; and
determining a specimen category from the one or more cellular features using a trained output aggregation model.
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