Lung-aware dual-branch cross-attention network for explainable lung cancer classification from CT images
Reliable classification of lung cancer from chest CT scans is essential for early diagnosis, yet most deep learning (DL) models lack an anatomical basis and robust, quantitatively validated interpretability, limiting clinical adoption. This study aims to develop and validate a lung-aware, dual-branch DL framework that...