A Leakage-Aware Deep Learning Framework for Reliable Chest X-ray Classification with Anatomically Constrained Explanations
While Chest X-ray (CXR) classification effectively aids respiratory disease assessment, existing models often suffer from data leakage—the presence of duplicate or near-duplicate images across training, validation, and test sets that can artificially inflate performance metrics—and poor interpretability by highlighting...