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20242026
most citedEnhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model

1 citations · 1 across the 5 of their papers we have counts for

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eess.IV2024

Enhancing Diagnostic Reliability of Foundation Model with Uncertainty Estimation in OCT Images

Yuanyuan Peng, Aidi Lin, Meng Wang +10

Inability to express the confidence level and detect unseen classes has limited the clinical implementation of artificial intelligence in the real-world. We developed a foundation…

eess.IV2024★ 1 cited

Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model

Meng Wang, Tian Lin, Aidi Lin +46

Previous foundation models for fundus images were pre-trained with limited disease categories and knowledge base. Here we introduce a knowledge-rich vision-language model (RetiZero…