Papers with Medical Abnormalities Unveiling

1 papers
Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback (2025.acl-long)

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Challenge: Existing Medical Large Vision-Language Models (Med-LVLMs) lack visual localization in medical images, which is crucial for abnormality detection and interpretation.
Approach: They propose a medical abnormalities unveiling method based on a Medical Abnormalities Unveiler dataset and propose 'abnormal-aware instruction tuning' and 'abbnormal-Aware Reward' method generates diagnoses based upon identified abnormal areas in medical images.
Outcome: The proposed method outperforms existing medical large vision-language models in identifying and understanding medical abnormalities and improves generalization capability.

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