notesum.ai
Published at November 6Cross Feature Fusion of Fundus Image and Generated Lesion Map for Referable Diabetic Retinopathy Classification
eess.IV
cs.AI
cs.CV
Released Date: November 6, 2024
Authors: Dahyun Mok1, Junghyun Bum2, Le Duc Tai1, Hyunseung Choo1
Aff.: 1Dept. of Electrical and Computer Engineering, Sungkyunkwan University, Korea; 2College of Computing and Informatics, Sungkyunkwan University, Korea

| Model | ACC | AUC | TPR | TNR |
|---|---|---|---|---|
| ResNet50[10] | 87.8 | 88.1 | 67.2 | 93.1 |
| Swin-T(Tiny)[26] | 91.6 | 91.7 | 81.3 | 92.2 |
| Swin-S(Small)[26] | 91.7 | 91.8 | 81.7 | 93.1 |
| Swin-B(Base)[26] | 91.7 | 91.7 | 81.8 | 93.4 |
| Swin-L(Large)[26] | 91.9 | 91.9 | 81.7 | 91.7 |
| ConvNeXt[27] | 87.5 | 85.1 | 76.4 | 81.6 |
| CrossViT[4] | 88.0 | 85.6 | 76.8 | 83.2 |
| CoATNet[24] | 81.4 | 79.4 | 72.6 | 77.3 |
| Ensemble of Plain and Robust model[21] | 90.2 | 91.0 | 79.2 | 88.1 |
| Lesion-Aware Contrastive Learning[16] | 84.6 | 83.8 | 73.4 | 85.2 |
| Ours (Proposed Method) | 94.6 | 96.2 | 82.0 | 97.6 |