Attentive Dual-Branch CNN–Transformer Fusion for Cross-Dataset Breast Histopathology Classification
This study proposes an attentive dual-branch CNN–Transformer framework intended to learn representations that remain informative with respect to heterogeneity in histopathological data that represents a trade-off between prediction performance and computational costs.