US 11,688,188 B2
System for automatic tumor detection and classification
Parijat Prakash Prabhudesai, Bengaluru (IN); Ganesh Kumar Mohanur Raghunathan, Bengaluru (IN); Sumit Kumar Jha, Bengaluru (IN); Aditya Sista, Bengaluru (IN); and Narasimha Murthy Chandan, Bengaluru (IN)
Assigned to Applied Materials, Inc., Santa Clara, CA (US)
Filed by Applied Materials, Inc., Santa Clara, CA (US)
Filed on Apr. 21, 2021, as Appl. No. 17/236,739.
Application 17/236,739 is a division of application No. 16/553,562, filed on Aug. 28, 2019, granted, now 11,017,207.
Prior Publication US 2021/0240966 A1, Aug. 5, 2021
Int. Cl. G06V 20/69 (2022.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06N 3/02 (2006.01)
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
OG exemplary drawing
 
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.