Ambient-Pix2PixGAN for Translating Medical Images from Noisy Data

Image-to-image translation is a common task in computer vision and has been rapidly increasing the impact on the field of medical imaging. Deep learning-based methods that employ conditional generative adversarial networks (cGANs), such as Pix2PixGAN, have been extensively explored to perform image-to-image translation tasks. However, when noisy medical image data are considered, such methods cannot be directly applied to produce clean images. Recently, an augmented GAN architecture named AmbientGAN has been proposed that can be trained on noisy measurement data …

adversarial ambient computer computer vision cs.cv data deep learning eess.iv generative generative adversarial networks image image data images image-to-image translation imaging impact medical medical imaging networks tasks translation vision