System for automatic tumor detection and classification

A system comprising:

• a processor;
• and
• a memory including instructions, which, when executed by the processor, cause the system to perform a method for automatically detecting and classifying tumor regions in a tissue slide by a tumor classification module, the method 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.

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 obtained from a digitized tissue slide database;
• generating a binary mask, wherein the binary mask indicates a region of interest (ROI) in the digitized tissue slide, the ROI comprising a region of continuous tumor cells;
• determining a diameter of the ROI based on an ellipse fitted to match the ROI, the diameter;
• 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 the ROI as an overlay on the digitized tissue slide, and wherein the classified slide shows the ROI as color-coded based on the tumor class associated with the ROI;
• and
• transmitting, to the pathologist assistance system, the classified slide.