3D Medical Image Segmentation on LA (16 labeled / 64 unlabeled) benchmark leaderboard · SOTA2 Research

3D Medical Image Segmentation on LA (16 labeled / 64 unlabeled)

91.62DSCOur maximum

Evaluation Results

Method	Links
Our maximum2026.05		91.62	1.62	5.44
CC-Net2026.05		91.6	1.54	5.27
TraCoCo2026.05		91.51	1.79	5.63
Our median2026.05		91.44	1.64	5.42
BoA-Net2026.05		91.38	1.54	5.09
Our maximum2026.05		91.36	1.86	6.16
Co-BioNet2026.05		91.26	1.64	5.17
AUA2026.05		91.08	1.8	5.6
MC-Net+2026.05		91.07	1.67	5.84
w2SPC2026.05		91.05	1.67	5.94
MRPL2026.05		91.02	1.66	5.78
SFR2026.05		91	1.61	6.13
TraCoCo2026.05		90.94	1.79	5.49
VerSemi2026.05		90.89	1.72	5.38
OTCMC2026.05		90.86	1.6	6.27
Our median2026.05		90.83	1.63	6.03
DBiSL2026.05		90.54	1.8	6.05
BSNet2026.05		90.43	1.63	6.21
CDS2026.05		90.33	1.91	6.16
AC-MT2026.05		90.31	1.76	6.21
UG-MCL2026.05		90.16	1.98	6.5
BaPC2026.05		89.71	1.85	6.08
DTC2026.05		89.42	2.1	7.32
MCF2026.05		88.71	1.9	6.32
AUSS2026.05		88.6	—	7.61
TAC2026.05		87.75	2.04	9.45