Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising

Yuting Zhu, Qiang He, Yudong Yao +1

Deep learning is a very promising technique for low-dose computed tomography (LDCT) image denoising. However, traditional deep learning methods require paired noisy and clean datas…