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cs.CV2025
A benchmark multimodal oro-dental dataset for large vision-language models
Haoxin Lv, Ijazul Haq, Jin Du +7
The advancement of artificial intelligence in oral healthcare relies on the availability of large-scale multimodal datasets that capture the complexity of clinical practice. In thi…
cs.CV2025
Learning Contrastive Multimodal Fusion with Improved Modality Dropout for Disease Detection and Prediction
Yi Gu, Kuniaki Saito, Jiaxin Ma
As medical diagnoses increasingly leverage multimodal data, machine learning models are expected to effectively fuse heterogeneous information while remaining robust to missing mod…