ProtoMedX: Towards Explainable Multi-Modal Prototype Learning for Bone Health Classification
机构 * School of Computing and Communications(计算与通讯学院) ; Lancaster Medical School(兰卡斯特医学学院)
Comments ICCV 2025 (PHAROS-AFE-AIMI: Adaptation, Fairness, and Explainability in Medical Imaging). 8 pages, 5 figures, 4 tables. Keywords: multi-modal, multimodal, prototype learning, explainable AI, interpretable models, case-based reasoning, medical imaging, DEXA, bone health, osteoporosis, osteopenia, diagnosis, classification, clustering