DL-CADET

Deep Multimodal Learning for Breast Cancer Detection

This project will advance the application of state-of-the-art Deep Learning for breast cancer detection in realistic scenarios. We aim to relax the current data and label requirements for training DL nets with new methods that are at the intersection of multiscale, self-supervised and multimodal learning.

Reference: EXPL/CCICOM/ 0656/2021

Duration: 13/01/2022 - 31/12/2023

Partners

Funding