Classification on fastMRI knee benchmark leaderboard · SOTA2 Research

Classification on fastMRI knee

0.89AUROCResNet50

Evaluation Results

Method	Links
ResNet502026.01		0.89	0.552
EfficientNet2026.01		0.88	0.536
EfficientNet2026.01		0.867	0.523
EfficientNet2026.01		0.867	0.519
ViT-Tiny2026.01		0.867	0.52
ResNet502026.01		0.866	0.524
ResNet502026.01		0.865	0.513
EfficientNet2026.01		0.856	0.51
EfficientNet2026.01		0.849	0.498
kViT2026.01		0.845	0.494
ResNet502026.01		0.843	0.494
ViT-Tiny2026.01		0.842	0.499
kViT2026.01		0.839	0.489
EfficientNet2026.01		0.836	0.476
ViT-Tiny2026.01		0.836	0.492
kViT2026.01		0.834	0.487
kViT2026.01		0.832	0.486
kViT2026.01		0.83	0.485
ViT-Tiny2026.01		0.827	0.484
kViT2026.01		0.822	0.483
ResNet502026.01		0.82	0.465
ViT-Tiny2026.01		0.816	0.474
ViT-Tiny2026.01		0.806	0.461
ResNet502026.01		0.801	0.449
EfficientNet2026.01		0.786	0.423
ResNet502026.01		0.767	0.412
EfficientNet2026.01		0.766	0.402
ResNet502026.01		0.756	0.405
EfficientNet2026.01		0.74	0.38
kViT2026.01		0.737	0.41
ViT-Tiny2026.01		0.727	0.385
ResNet502026.01		0.708	0.369
ViT-Tiny2026.01		0.694	0.354
kViT2026.01		0.682	0.368
ViT-Tiny2026.01		0.674	0.34
kViT2026.01		0.668	0.356