3D Medical Image Segmentation on LA 8 labeled 72 unlabeled benchmark leaderboard · SOTA2 Research

3D Medical Image Segmentation on LA 8 labeled 72 unlabeled

90.85DSC (%)Our maximum

Evaluation Results

Method	Links
Our maximum2026.05		90.85	1.8	5.45
CC-Net2026.05		90.82	1.72	7.5
Our median2026.05		90.73	1.77	5.87
Our maximum2026.05		90.39	1.88	6.4
A&D2026.05		90.31	1.64	5.55
Our median2026.05		90.28	1.77	6.49
OTCMC2026.05		90.26	1.65	5.96
w2SPC2026.05		90.23	1.95	7.16
ARCO-SG2026.05		89.9	1.47	—
TraCoCo2026.05		89.86	2.01	6.81
MRPL2026.05		89.86	1.85	—
BCP2026.05		89.62	1.76	6.81
TraCoCo2026.05		89.29	2.28	6.92
ICSSL2026.05		89.25	1.86	6.96
Co-BioNet2026.05		89.2	1.9	6.44
AC-MT2026.05		89.12	2.19	11.05
VerSemi2026.05		89.01	2.57	9.03
MC-Net+2026.05		88.96	1.86	7.93
BOA-Net2026.05		88.91	2.11	7.73
DBiSL2026.05		88.78	—	—
CRDS2026.05		88.51	2.13	6.86
DTC2026.05		87.51	2.36	8.23
CDS2026.05		87.21	2.97	11.02
CPL2026.05		87.01	2.97	9.05
AUSS2026.05		86.58	—	11.82
TAC2026.05		84.73	2.72	11.45
SGTC2026.05		84.7	4.26	17.44