A European Multi-Center Breast Cancer MRI Dataset

Detecting breast cancer early is of the utmost importance to effectively treat the millions of women afflicted by breast cancer worldwide every year. Although mammography is the primary imaging modality for screening breast cancer, there is an increasing interest in adding magnetic resonance imaging (MRI) to screening programmes, particularly for women at high risk. Recent guidelines by the European Society of Breast Imaging (EUSOBI) recommended breast MRI as a supplemental screening tool for women with dense breast tissue. However, acquiring and reading MRI scans requires significantly more time from expert radiologists. This highlights the need to develop new automated methods to detect cancer accurately using MRI and Artificial Intelligence (AI), which have the potential to support radiologists in breast MRI interpretation and classification and help detect cancer earlier. For this reason, the ODELIA consortium has made this multi-centre dataset publicly available to assist in developing AI tools for the detection of breast cancer on MRI.

@article{müller-franzes2025_2506.00474,
  title={ A European Multi-Center Breast Cancer MRI Dataset },
  author={ Gustav Müller-Franzes and Lorena Escudero Sánchez and Nicholas Payne and Alexandra Athanasiou and Michael Kalogeropoulos and Aitor Lopez and Alfredo Miguel Soro Busto and Julia Camps Herrero and Nika Rasoolzadeh and Tianyu Zhang and Ritse Mann and Debora Jutz and Maike Bode and Christiane Kuhl and Wouter Veldhuis and Oliver Lester Saldanha and JieFu Zhu and Jakob Nikolas Kather and Daniel Truhn and Fiona J. Gilbert },
  journal={arXiv preprint arXiv:2506.00474},
  year={ 2025 }
}