Machine Learning Applications on Contrast-Enhanced Mammography Images

Project objectives

The aim of the project is to study machine and deep learning applications on contrast-enhanced mammography (CESM) images, starting from the analysis of the state of the art, studying image-to-image translation techniques for contrast enhancement, and developing tools to support diagnosis on such images.

Start and end date

Project Manager

Dr. Valerio Guarrasi, Investigator

Coordinating institution of the project

Other Institutions involved

• Bracco Imaging SpA

Funding source(s).