CT Image Denoising and Deblurring With Deep Learning: Current Status and Perspectives
Yiming Lei, Chuang Niu, Junping Zhang, Ge Wang, Hongming Shan · IEEE Transactions on Radiation and Plasma Medical Sciences · 2023
This article reviews the deep learning methods for computed tomography image denoising and deblurring separately and simultaneously. Then, we discuss promising directions in this field, such as a combination with large-scale pretrained models and large language models. Currently, deep learning is revolutionizing medical imaging in a data-driven manner. With rapidly evolving learning paradigms, related algorithms and models are making rapid progress toward clinical applications.