CPC G16H 30/40 (2018.01) [G06F 18/2431 (2023.01); G06N 3/04 (2013.01); G06T 7/0012 (2013.01); G06T 7/10 (2017.01); G06V 20/698 (2022.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01)] | 19 Claims |
1. A computer-based system for distinguishing types of cancer cells in digital image data, the system comprising:
at least one computer readable memory storing software instructions;
at least one processor coupled with the memory and, upon execution of the software instructions, performs the following operations:
receiving a digital image of a tissue sample;
identifying a set of regions of interest (RoI) in the digital image;
generating a set of feature cluster densities for the set of RoIs;
selecting classifiers for the set of RoIs from a stack of classifiers based on the set of feature cluster densities, wherein classifiers are indexed by feature cluster density;
generating a classified output for the set of RoIs based on the selected classifiers; and
identifying cancer cell types in the set of RoIs based on the classified output.
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