X-PCR is a new benchmark of 26,415 images and 177,868 expert VQA pairs that evaluates MLLMs on six-stage progressive reasoning and cross-modality integration in ophthalmology.
A foundation model for generalizable disease detection from retinal images.Nature, 622(7981):156–163
3 Pith papers cite this work. Polarity classification is still indexing.
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EyeBench-V2 is a new benchmark that evaluates retinal fundus enhancement models using downstream clinical tasks, generalization tests, and structured expert assessments to measure real diagnostic utility.
EI steers target modality embedding using reference semantic tokens early in the process and introduces MoR for efficient VFM adaptation, improving performance on retinal disease, skin lesion, and knee anomaly classification tasks.
citing papers explorer
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X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic Diagnosis
X-PCR is a new benchmark of 26,415 images and 177,868 expert VQA pairs that evaluates MLLMs on six-stage progressive reasoning and cross-modality integration in ophthalmology.
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Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement
EyeBench-V2 is a new benchmark that evaluates retinal fundus enhancement models using downstream clinical tasks, generalization tests, and structured expert assessments to measure real diagnostic utility.
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EI: Early Intervention for Multimodal Imaging based Disease Recognition
EI steers target modality embedding using reference semantic tokens early in the process and introduces MoR for efficient VFM adaptation, improving performance on retinal disease, skin lesion, and knee anomaly classification tasks.