Multiple Instance Learning on TCGA-BRCA benchmark leaderboard · SOTA2 Research

Multiple Instance Learning on TCGA-BRCA

88AccuracyAINet

Evaluation Results

Method	Links
AINet2026.02		88	90.9	92.6
AINet2026.02		87.8	90.1	92.4
CLAM2026.02		87.4	89.5	92.2
MHIM-ABMIL2026.02		87.2	90.2	92
ABMIL2026.02		87	90	91.8
ACMIL2026.02		86.9	90	92
SSMMIL2026.02		86.9	90	91.9
ACMIL2026.02		86.9	89	92
PAMoE2026.02		86.9	89.9	91.9
MambaMIL2026.02		86.8	87.8	91.7
WIKG2026.02		86.6	89.4	91.8
CLAM2026.02		86.5	89	91.7
ILRA2026.02		86.4	89.6	91.6
SSMMIL2026.02		86.3	89.6	91.6
WIKG2026.02		86.3	88.7	91.4
ABMIL2026.02		86.2	88.2	91.5
DTFD-MaxM2026.02		86.2	86.1	91.6
MambaMIL2026.02		86.2	88.7	91.6
TransMIL2026.02		85.9	88.8	91.2
MHIM-Trans2026.02		85.9	88.8	91.2
MHIM-ABMIL2026.02		85.8	88.3	91.2
ILRA2026.02		85.7	88.6	90.8
DSMIL2026.02		85.6	89.5	91.1
PAMoE2026.02		85.3	85.4	90.8
MHIM-Trans2026.02		84.8	87.2	90.5
TransMIL2026.02		84.7	84.6	90.5
DTFD-AFS2026.02		84	87	90.1
DSMIL2026.02		82.3	82	89.2
DTFD-AFS2026.02		82.3	82.4	89.2
DTFD-MaxM2026.02		81.6	81	88.5