Multimodal deep learning fusion of ultrafast-DCE MRI and clinical information for breast lesion classification

Belinda Lokaj, Valentin Durand de Gevigney, Amal-Dahila Djema, Jamil Zaghir, Jean-Philippe Goldman, Mina Bjelogrlic, Hugues Turbé, Karen Kinkel, Christian Lovis, Jérôme Schmid

Abstract: Highlights•Patient context is essential for accurate interpretation of breast MRI.•Integrating imaging with non-imaging data improves breast lesion classification.•The proposed MMST approach addresses information redundancy in multimodal data.