Medical Image Segmentation on GlaS Histopathology (test) benchmark leaderboard · SOTA2 Research

Medical Image Segmentation on GlaS Histopathology (test)

78.63IoUMambaLiteUNet

Evaluation Results

Method	Links
MambaLiteUNet2026.04		78.63	88.04	87.91	88.9	86.96	21.62
C2SDG2026.04		75.49	86.04	85.49	83.56	87.34	24.28
MALUNet2026.04		74.64	85.48	85.7	89.29	82.27	24.17
UNeXt-S2026.04		74.41	85.33	85	84.71	85.27	25.17
TransFuse2026.04		73.49	84.72	83.47	77.1	89.55	25.49
ULVM-UNet2026.04		73.33	84.61	84.24	83.8	84.67	26.66
U-Net2026.04		72.69	84.19	83.86	83.75	83.96	25.3
VM-UNet2026.04		72.64	84.15	84.67	90.05	79.54	24.94
LB-UNet2026.04		71.3	83.24	84.23	92.26	76.56	24.66
EGE-UNet2026.04		71.25	83.21	83.7	88.69	78.93	25.06
LightM-UNet2026.04		69.4	81.94	81.72	82.42	81.04	28.06
UTNetV22026.04		67.67	80.72	81.52	87.74	75.59	25.12