Ethan Williams

Cross-Modal Contrastive Learning for Enhanced Medical Multimodal Diagnosis

A cross-modal contrastive learning framework designed to enhance multimodal medical diagnosis by learning aligned and discriminative representations across heterogeneous data modalities is proposed, offering significant potential for improving clinical decision-making and patient outcomes.