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
Partners
Funding
Funding