Medical vision-language models lose accuracy on corrupted images; RobustMedCLIP, a few-shot LoRA-tuned BioMedCLIP, partially restores robustness on the new MediMeta-C benchmark.
In: 2025 IEEE 22nd In- ternational Symposium on Biomedical Imaging (ISBI)
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On the Robustness of Medical Vision-Language Models: Are they Truly Generalizable?
Medical vision-language models lose accuracy on corrupted images; RobustMedCLIP, a few-shot LoRA-tuned BioMedCLIP, partially restores robustness on the new MediMeta-C benchmark.