Projects •
BINDER
Full Title
Improving Bio-Inspired Deep Learning for RadiomicsDescription
The objective of this project is to improve the state of the art in Radiomics analysis of breast and rectal cancer, using existing and novel Machine Learning and Deep Learning methods.
Radiomics is an emerging field of oncologic imaging. It aims at extracting large amounts of informative features from standard of care medical images, and analysing them for improving predictive power in precision medicine. The project will contribute at the development of faster, more objective, and accurate Radiomics models, that can be used to tailor treatment options and thus reduce toxicity and improve clinical outcomes.