Application of Machine Learning in Predicting Prognosis from Histopathology Images.

Abstract

Histopathology image analysis plays a crucial role in cancer prognosis, but traditional methods 
are often subjective and time-consuming. This study explores the application of machine 
learning (ML) to automate and enhance prognostic prediction from histopathology images. We 
developed and evaluated several ML models, including convolutional neural networks (CNNs), 
to predict patient outcomes based on digitized whole-slide images (WSIs) of tumor tissue.