Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
Self-Supervised Pre-Training for Deep Image Prior-Based Robust PET Image Denoising
Deep image prior (DIP) has been successfully applied to positron emission tomography (PET) image restoration, enabling represent implicit prior using only convolutional neural network architecture without training dataset, whereas the general supervised approach requires massive low- and high-quality PET image pairs. To answer the increased need for PET imaging with …