Projects  •

BINDER

Full Title
Improving Bio-Inspired Deep Learning for Radiomics
Description

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.

Funding Entity
FCT
Reference
PTDC/CCI-INF/29168/2017
Start Date
01/10/2018
End Date
30/07/2022
Coordinator
NOVA Information Management School
Partners
Fundação Champalimaud, LASIGE, Universidade de Coimbra
Principal Investigator at LASIGE
Sara Silva
Team at LASIGE
Status
Ongoing