Lesion-Aware Multi-Scale CNN–Swin Transformer with Adaptive Attention Fusion for Explainable COVID-19 Detection from Chest CT Images
The rapid identification of COVID-19 from chest computed tomography (CT) images remains challenging due to the diverse appearance, distribution, and scale of pulmonary abnormalities. Conventional convolutional neural networks (CNNs) can capture detailed local patterns but may have limited ability to model long-range sp...