DTFD-MIL (MaxS)

Reported on 4 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

Multiple Instance LearningonTCGA
ACC· 2022-03-22
0.868
best: 0.951 (DTFD-MIL (AFS))
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification arXiv:2203.12081
Multiple Instance LearningonTCGA
AUC· 2022-03-22
0.919
best: 0.972 (Snuffy (SimCLR Exhaustive))
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification arXiv:2203.12081
Multiple Instance LearningonCAMELYON16
ACC· 2022-03-22
0.864
best: 0.952 (Snuffy (SimCLR Exhaustive))
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification arXiv:2203.12081
Multiple Instance LearningonCAMELYON16
AUC· 2022-03-22
0.907
best: 0.987 (Snuffy (DINO Exhaustive))
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification arXiv:2203.12081