Lung Nodule Classification on USTC-FHLN benchmark leaderboard · SOTA2 Research

Lung Nodule Classification on USTC-FHLN

84.24AccuracyM3Net

Evaluation Results

Method	Links
M3Net2026.05		84.24	86.07	84.24	84.24	84.25	85.19	87.98	86.27
DINOv32026.05		82.07	83.24	82.07	82.07	82.1	82.46	88.41	87.86
NASLung2026.05		81.52	82.83	81.52	81.52	81.56	82.01	88.5	88.59
MVCS2026.05		81.52	82.32	81.52	81.52	81.57	81.65	85.19	82.94
DINOv22026.05		81.52	82.32	81.52	81.52	81.57	81.65	85.19	82.94
3DINO-ViT2026.05		81.52	82.11	81.52	81.52	81.58	81.52	87.54	86.18
3D-CNN2026.05		80.98	82.74	80.98	80.98	80.99	81.81	87.77	87.26
ResNet-182026.05		80.43	81.73	80.43	80.43	80.47	80.92	87.66	87.84
ViT-B2026.05		80.43	81.47	80.43	80.43	80.48	80.73	86.33	84.82
M3D-LaMed2026.05		80.43	81.23	80.43	80.43	80.49	80.57	87.32	86.02
DeepLung2026.05		79.89	79.86	79.89	79.89	79.82	79.8	86.62	86.65
MLSL-Net2026.05		79.35	81.25	79.35	79.35	79.35	80.3	83.97	83.91
ResNet-342026.05		78.8	79.02	78.8	78.8	78.85	78.59	87.18	87.49