F. Kanavati

Breast invasive ductal carcinoma classification on whole slide images with weakly-supervised and transfer learning

The paper develops a model to classify invasive ductal carcinoma on whole slide images using transfer learning and weakly-supervised learning, achieving ROC AUCs of 0.95-0.98 on test sets.

Deep learning models for poorly differentiated colorectal adenocarcinoma classification in whole slide images using transfer learning

This study uses transfer learning to train deep learning models for classifying poorly differentiated colorectal adenocarcinoma from whole slide images, achieving AUCs of 0.94-0.98.