Concetti Chiave
Innovative CDFA-MIL framework enhances feature representation and fusion in digital pathology, setting a new benchmark.
Statistiche
Specifically, CDFA-MIL achieved an average accuracy and F1-score of 93.7% and 94.1% respectively on these datasets.
Citazioni
"Our innovative Concentric Dual Fusion Attention-MIL (CDFA-MIL) framework significantly advances the field of feature fusion in pathology image analysis."
"CDFA-MIL stands out as a cutting-edge framework, addressing crucial gaps in feature representation and fusion in digital pathology."