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Diabetic Retinopathy Grading

Grading the severity of diabetic retinopathy from (ophthalmic) fundus images

Papers

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Showing 1–10 of 44 papers

TitleStatusHype
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph MatchingCode2
nnMobileNet: Rethinking CNN for Retinopathy ResearchCode1
Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus ImagesCode1
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware PromptingCode1
Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus ImagesCode1
DiffMIC: Dual-Guidance Diffusion Network for Medical Image ClassificationCode1
Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus ImagesCode1
Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigationCode1
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by EnhancingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IncRes-v2-FTCDWAUC0.99—Unverified
2InceptionV3 EnsembleAUC0.95—Unverified