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 |