A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoising
By uniting Shearlet transform-based directional perception with coordinate attention-driven spatial focusing, ShearFocusNet achieves an effective balance between noise reduction and detail preservation, and holds strong potential for advancing low-dose CT imaging in clinical practice.
Qing-Lei Yan, Qiang Lin, Tong-Tong Li et al.
· EJNMMI Physics · 0 citations