Noise Entangled GAN For Low-Dose CT Simulation

Chuang Niu, Ge Wang, Pingkun Yan +8

We propose a Noise Entangled GAN (NE-GAN) for simulating low-dose computed tomography (CT) images from a higher dose CT image. First, we present two schemes to generate a clean CT…