Qiang Lin

A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoising

Abstract Background Low-dose computed tomography (CT) has been increasingly adopted to minimize radiation exposure. However, it often introduces excessive image noise and structural degradation, thereby compromising diagnostic accuracy. Existing deep learning-based denoising meth...