CPC G06V 20/698 (2022.01) [G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06N 3/02 (2013.01); G06T 7/11 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] | 20 Claims |
1. A method for automatically detecting and classifying tumor regions in a tissue slide by a tumor classification module, comprising:
receiving from a pathologist assistance system, a digitized tissue slide;
generating a binary mask, wherein the binary mask indicates a region of interest (ROI) in the digitized tissue slide;
determining a diameter of the ROI based on an ellipse fitted to match the ROI;
sorting the ROI into a tumor class based on the diameter of the ROI, wherein the tumor class indicates a stage of tumors in the tumor class;
generating, based on the ROI, a classified slide, wherein the classified slide shows each ROI as color-coded based on the tumor class associated with each ROI; and
transmitting, to the pathologist assistance system, the classified slide.
|