Systems and methods for preprocessing immunocytochemistry images for machine learning image-to-image translation

A system for pre-processing immunocytochemistry images for machine learning, the system comprising:

• an image receiving module configured to receive paired positive and negative multi-protein images;
• an image segmentation module configured to segment stains of the paired multi-protein images;
• a cell labelling module configured to label each image pixel of the paired multi-protein images corresponding to a cell of the paired multi-protein images;
• a table-generating module configured to translate image pixel information of the labelled image pixels to tabular form to generate a table of cell coordinates and geometrical characteristics for each of the paired multi-protein images;
• and
• a data output module configured to generate two cell-paired tables for each of the paired multi-protein images based on Euclidean distance-based pairing as input for the machine learning, wherein the Euclidean distance-based pairing is based on the cell coordinates in the table of cell coordinates and geometrical characteristics for each of the paired multi-protein images.