Enhancing Tumor Segmentation on BraTS 2018 (test) benchmark leaderboard · SOTA2 Research

Enhancing Tumor Segmentation on BraTS 2018 (test)

84.59Sensitivity (ET)RA-HVED

Evaluation Results

Method	Links
RA-HVED2025.09		84.59	80.52	7.75
Ours2025.09		83.16	69.47	13.89
w/o BBDM2025.09		81.67	66.18	17.88
SMUNet2025.09		81.65	71.49	11.89
SRMNet2025.09		81.15	64.01	17.31
MSTKDNet2025.09		81.08	64.08	18.17
w/o GARM2025.09		80.84	67.88	14.3
ACN2025.09		80.39	69.93	11.57
MMCformer2025.09		79.25	68.76	10.61
ShaSpec2025.09		77.57	60.62	17.32
w/o LGRM2025.09		76.06	64.86	12.69
XLSTM-HVED2025.09		75.83	71.77	3.83
RFNet2025.09		71.31	66.89	4.82
M2FTrans2025.09		71.28	68.08	3.37
mmFormer2025.09		70.65	67.6	3.33
MriSeg2025.09		70.63	67.1	3.82
LCKD2025.09		70.62	64.7	5.31
Hyper-GAE2025.09		69.92	65.74	2.65
RMBTS2025.09		68.79	52.96	16.87
MouseGAN++2025.09		68.74	65.69	1.32