Anatomically adaptive feature-wise linear modulation for deep learning-based low-dose CT denoising
Objective. Low-dose computed tomography (LDCT) reduces radiation dose but, introduces heterogeneous noise due to different photon attenuation based on anatomical tissue. Most deep learning techniques assume uniform noise in LDCT and perform equal noise removal across different regions, leading to sub-optimal performanc...