Systems Configured for Area-Based Histopathological Learning and Prediction and Methods Thereof

A system comprising:

• at least one processor in communication with at least one memory and configured to access instructions stored in the memory, wherein the instructions cause the at least one processor to perform steps to:
• receive a tissue image comprising a digital representation of a plurality of cells of a tissue;
• utilize a histopathological scoring model to predict at least one mask delineating areas of interest in the tissue image according to cell staining based on learned histopathological scoring parameters;
• wherein each mask of the at least one mask comprises:
• i) at least one polygon formed by labelled pixels representing a delineation of each area of interest of the areas of interest, and
• ii) at least one label associated with the labelled pixels representing an image band of each area of interest of the areas of interest;
• determine a sum of values associated with each image band across all pixels;
• wherein the sum of the values represents a measure of an area of each area of interest of the areas of interest based at least in part on the image band of each area of interest;
• determine a histopathological score based at least in part on the measure of the area of each area of interest;
• and
• cause to display the histopathological score on at least one screen of at least one computing device associated with at least one user.

A non-transitory computer readable medium having software instructions stored thereon, the software instructions configured to cause at least one processor to perform steps comprising:

• receiving a tissue image comprising a digital representation of a plurality of cells of a tissue;
• utilizing a histopathological scoring model to predict at least one mask delineating areas of interest in the tissue image according to cell types or biomarkers based on learned histopathological scoring parameters;
• wherein each mask of the at least one mask comprises:
• i) at least one polygon formed by labelled pixels representing a delineation of each area of interest of the areas of interest, and
• ii) at least one label associated with the labelled pixels representing a cell type or biomarker of the cell types in each area of interest of the areas of interest;
• determining a sum of values associated with each mask across all pixels;
• wherein the sum of the values represents a measure of an area of each area of interest of the areas of interest based at least in part on the image band of each area of interest;
• determining a histopathological score based at least in part on the measure of the area of each area of interest;
• and
• causing to display the histopathological score on at least one screen of at least one computing device associated with at least one user.