Fig. 2.

Workflow of the approach developed in the study. Starting from H&E images from HER2+ and TN breast cancer, the approach starts with the segmentation of nuclei within tumor-associated associated stroma (A). Pathomic features were then extracted from cell segmentation within tumor-associated stroma (B). After the feature selection step, five classification models were trained (C) and their performance evaluated (D).