Deep Learning With Adaptive Hyper-Parameters for Low-Dose CT Image Reconstruction

Low-dose CT (LDCT) imaging is preferred in many applications to reduce the object's exposure to X-ray radiation. In recent years, one promising approach to image reconstruction in LDCT is the so-called optimization-unrolling-based deep learning approach, which replaces pre-defined image prior b...

Ausführliche Beschreibung