Binder - Improving bio-inspired deep learning for radiomics

Binder - Improving bio-inspired deep learning for radiomics
Radiomics is an emerging and innovative field of oncology. The aim is to extract a large number of quantitative characteristics from medical images, which result in the conversion of the images into prospective data, and to analyze these data for decision support. The project will contribute to the development of faster, more objective and more robust Radiomics thanks to the development of new intelligent computational technologies.
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.
Impact:
- Application to cancer (breast cancer and rectal cancer);
- Treat these diseases more effectively;
- Allows development of personalized therapies.