Preprocessing module for large histological images

UC1 for PROCESS-project. The use case tackles cancer detection and tissue classification on the latest challenges in cancer research using histopathology images, such as CAMELYON and TUPAC.

Quantitatively evaluate tumor stroma reaction within ovarian cancers, and establish assocaitaions to prognosis, molecular signatures.

A Deep Learning project to classify whether a tumor in tissues is 'Malignant' or 'Benign'. This project aims at incorporating AI in detecting cancer at premature stages helping doctors save more lives.

A deep learning framwork for lung cancer prediction