Multi-label classification on 3D Multi-label MRI dataset benchmark leaderboard · SOTA2 Research

Multi-label classification on 3D Multi-label MRI dataset

0.543PCC (Age)Adversarial

Evaluation Results

Method	Links
Adversarial2022.07		0.543	0.094	0.166	26.8
Baseline2022.07		0.488	0.199	0.431	45
Baseline2022.07		0.488	0.226	0.456	43.5
Baseline2022.07		0.461	0.259	0.402	49.7
Baseline2022.07		0.431	0.209	0.388	48.8
Adversarial2022.07		0.408	0.154	0.086	26.5
Adversarial2022.07		0.385	0.214	0.127	25.8
BN2022.07		0.384	0.268	0.293	45.1
BN2022.07		0.382	0.237	0.312	44
Adversarial2022.07		0.382	0.172	0.11	27.8
BN2022.07		0.374	0.22	0.285	42.1
BN2022.07		0.369	0.225	0.275	42.2
MDN2022.07		0.241	0.174	0.16	45.6
MDN2022.07		0.235	0.172	0.132	41.2
MDN2022.07		0.225	0.189	0.126	41.2
PMDN2022.07		0.213	0.141	0.155	51.3
PMDN2022.07		0.208	0.187	0.172	50.7
PMDN2022.07		0.199	0.188	0.149	50.7
MDN2022.07		0.185	0.173	0.137	46.2
PMDN2022.07		0.18	0.166	0.158	51.9