Medical Image Classification on COVID19-CT (test)
98AccuracyCNN-based CAD system
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CNN-based CAD system2026.05 | 98 | — | — | — | |
| CNN-based CAD system2026.05 | 96 | — | — | — | |
| Panwar2026.05 | 94 | — | — | — | |
| Amyar2026.05 | 94 | — | — | — | |
| Wang2026.05 | 90 | — | — | — | |
| Martinez2026.05 | 87 | — | — | — | |
| Nguyen2026.05 | 83 | — | — | — | |
| Hasan2026.05 | 78 | — | — | — | |
| HiFuse_Smallsize=Small2022.09 | 76.88 | 76.31 | 77.78 | 76.19 | |
| HiFuse_Basesize=Base2022.09 | 76.34 | 76.17 | 76.3 | 76.11 | |
| Conformer-base-p16patch size=16, size=base2022.09 | 75.81 | 75.6 | 76.81 | 77.81 | |
| HiFuse_Tinysize=Tiny2022.09 | 74.73 | 74.67 | 74.65 | 74.73 | |
| Mixer-L/16patch size=162022.09 | 70.43 | 70.12 | 70.38 | 70.06 | |
| VIT-B/16patch size=162022.09 | 65.05 | 64.88 | 64.9 | 64.87 | |
| T2T-ViT_t-242022.09 | 63.44 | 60.34 | 65.68 | 61.89 | |
| VIT-B/32patch size=322022.09 | 61.83 | 60.59 | 61.89 | 60.94 | |
| Swin-Bsize=base2022.09 | 60.75 | 56.36 | 63.2 | 58.95 | |
| VGG-192022.09 | 59.14 | 57.55 | 59.04 | 58.13 | |
| ConvNeXt-B2022.09 | 55.38 | 54.68 | 54.95 | 54.81 | |
| DeiT-basesize=base2022.09 | 50.54 | 39.31 | 44.47 | 47.96 |