Project: The application of deep learning in contrast enhanced mammography: towards a virtual breast biopsy

Acronym DEEP-MAM (Reference Number: 12931)
Duration 01/05/2019 - 03/05/2022
Project Topic DEEP-MAM will result in a novel multifactorial quantitative image analysis (QIA) model uniquely combining radiomic features with deep learning algorithms for unprecedented accuracy of breast cancer (BC) detection and malignancy assessment from contrast-enhanced mammography (CEM). The resulting “virtual breast biopsy” (VBB) software will be equipped with cutting-edge privacy-preserving distributed learning algorithms that will enable continuous improvement of the model’s diagnostic accuracy.
Network Eurostars 2
Call Eurostars Cut–off 10

Project partner

Number Name Role Country
1 OncoRadiomics Coordinator Belgium
2 Maastricht University Partner Netherlands
3 Academisch ziekenhuis Maastricht Partner Netherlands