Enhancing Interpretability in Lung Nodule Diagnosis Using Contrastive Learning

ContrastDiagnosis proposes a transparent and effective interpretable diagnosis framework using contrastive learning to enhance model transparency and interpretability, achieving high diagnostic accuracy.