Interpretable Lesion-Guided Correlation Learning for Mammography Computer-Aided Diagnosis with Swin Transformer
Deep learning-based computer-aided diagnosis (CAD) systems for mammography have achieved remarkable performance in recent years, evolving from convolutional neural networks to transformer-based architectures. However, it remains an open challenge how to effectively incorporate lesion-level clinical information into mod...