Whole Slide Image Classification on BRACS (Accuracy and Macro AUC) benchmark leaderboard · SOTA2 Research

Whole Slide Image Classification on BRACS (Accuracy and Macro AUC)

67.6AccuracySRMIL

Evaluation Results

Method	Links
SRMIL2026.02		67.6	0.828
MambaMIL2026.02		67.1	0.821
PatchGCN2026.02		66.7	0.837
SRMIL2026.02		66	0.839
PatchGCN2026.02		65.1	0.819
RRT2026.02		64.6	0.808
ACMIL2026.02		64.1	0.782
ABMIL2026.02		63.9	0.79
MHIM-MIL2026.02		63.4	0.773
TransMIL2026.02		63.4	0.802
MambaMIL2026.02		63.4	0.815
CLAM-MB2026.02		62.3	0.794
DSMIL2026.02		62.3	0.795
CLAM-SB2026.02		61.6	0.77
DTFD-MIL2026.02		61.4	0.788
CLAM-SB2026.02		61.4	0.798
ACMIL2026.02		61.1	0.81
CLAM-MB2026.02		60.5	0.783
DSMIL2026.02		60.2	0.785
TransMIL2026.02		60	0.773
RRT2026.02		59.5	0.787
DTFD-MIL2026.02		59.3	0.788
ABMIL2026.02		58.6	0.796
MHIM-MIL2026.02		57.7	0.795
RaLMPH2026.06		53.4	0.845
Ensemble2026.06		52.1	0.838
RaLMPH w.o. Jkn2026.06		52.1	0.836
RaLMPH w.o. Adapt. K*2026.06		52.1	0.838
RaLMPH w.o. Φ2026.06		51.7	0.837
GLAD2026.06		51.5	0.845
MV2026.06		51.2	0.844
NWVNC2026.06		51	0.819
DL-CL2026.06		49.6	0.833
RaLMPH2026.06		49.4	0.807
GLAD2026.06		48.5	0.793
Ensemble2026.06		48.2	0.783
RaLMPH w.o. Adapt. K*2026.06		47.8	0.762
SL2026.06		47.8	0.826
IWBVT2026.06		47.8	0.826
NWVNC2026.06		47.3	0.8
MV2026.06		46.6	0.788
IWBVT2026.06		46.4	0.762
RaLMPH w.o. Jkn2026.06		46.4	0.78
KFNN2026.06		45.9	0.837
RaLMPH w.o. Φ2026.06		45.8	0.774
SL2026.06		45.7	0.772
KFNN2026.06		45.7	0.783
DL-CL2026.06		45.1	0.753