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ResearchFormerly WizWand

Medical Image Segmentation on ISIC 5 samples 2018 (train)

73.02DICE (%)SimSiam
52.802458.051263.368.5488Jan 12, 2026
Updated 8mo ago

Evaluation results

MethodLinks
SimSiamEncoder Type=SSL, Training Sample Number=52026.0173.02
MAEEncoder Type=SSL, Training Sample Number=52026.0169.99
MoCov2Encoder Type=SSL, Training Sample Number=52026.0168.6
SegFormerEncoder Type=Trans, Training Sample Number=52026.0167.74
DINO-AugSegEncoder Type=SSL, Training Sample Number=52026.0167.64
AIMv2Encoder Type=SSL, Training Sample Number=52026.0166.73
nn-UNetEncoder Type=Conv, Training Sample Number=52026.0165.9
SegDINOEncoder Type=SSL, Training Sample Number=52026.0164.85
SwinUNETREncoder Type=Trans, Training Sample Number=52026.0162.95
SegResNetEncoder Type=Conv, Training Sample Number=52026.0162.68
MISSFormerEncoder Type=Trans, Training Sample Number=52026.0161.85
MultiResUNetEncoder Type=Conv, Training Sample Number=52026.0161.79
Attention-UnetEncoder Type=Conv, Training Sample Number=52026.0157.4
U-NetEncoder Type=Conv, Training Sample Number=52026.0156.52
SegNetEncoder Type=Conv, Training Sample Number=52026.0154.69
Unet++Encoder Type=Conv, Training Sample Number=52026.0153.58