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

Multiple Instance Learning on TCGA-ESCA

93.7AccuracyAINet

Evaluation Results

Method	Links
AINet2026.02		93.7	98.2	94.5
DTFD-AFS2026.02		92.9	97.8	94
ACMIL2026.02		92.9	97.8	94
ABMIL2026.02		92.3	97.6	93.4
CLAM2026.02		91.7	97.3	92.9
SSMMIL2026.02		91.7	97.5	93
DTFD-MaxM2026.02		91.1	98.1	92.7
DSMIL2026.02		90.4	96.1	91.9
TransMIL2026.02		90.4	97.8	92
MHIM-ABMIL2026.02		90.4	97.9	92
ILRA2026.02		89.2	96.5	90
WIKG2026.02		89.2	94.9	90
PAMoE2026.02		89.2	95.5	91.1
MambaMIL2026.02		89.1	97.7	91
MHIM-Trans2026.02		88	94.7	89
AINet2026.02		87.3	94.6	89.4
ACMIL2026.02		86.6	93.2	89.3
DTFD-AFS2026.02		86.5	91.2	88.1
MambaMIL2026.02		86	94.4	88.6
MHIM-Trans2026.02		85.3	91.1	87.9
MHIM-ABMIL2026.02		82.8	91.1	86.6
CLAM2026.02		82.1	91.6	84.4
DTFD-MaxM2026.02		82.1	91.4	85.1
ABMIL2026.02		81.5	88.2	85.2
TransMIL2026.02		81.5	87.8	84.7
ILRA2026.02		80.3	89.6	83.8
PAMoE2026.02		80	89.7	83.6
SSMMIL2026.02		78.3	89.2	82.3
WIKG2026.02		77	87.4	79.3
DSMIL2026.02		71.2	82.3	77.3