Multiple Sclerosis classification on MS dataset benchmark leaderboard · SOTA2 Research

Multiple Sclerosis classification on MS dataset

93.6AccuracyEnd-Net

Evaluation Results

Method	Links
End-Net2026.06		93.6	93.6	93.6	93.6	0.2611	0.0522
C-DCNN2026.06		92.15	92.15	92.15	92.15	0.4019	0.0647
VGG192026.06		90.7	90.7	90.7	90.7	0.4048	0.0796
CNN2026.06		89.53	89.53	89.53	89.53	0.24	0.0714
NeuroNet192026.06		89.53	89.53	89.53	89.53	0.3132	0.0845
DenseNet2026.06		88.37	88.37	88.37	88.37	0.2702	0.0813
InceptionV32026.06		84.88	84.88	84.88	84.88	0.3869	0.1185
AlexNet2026.06		82.56	82.56	82.56	82.56	0.4927	0.1352