6 citations · 18 across the 4 of their papers we have counts for
4 papers
Generative Adversarial Network-Based Sinogram Super-Resolution for Computed Tomography Imaging
Chao Tang, Wenkun Zhang, Linyuan Wang +4
Compared with the conventional 1*1 acquisition mode of projection in computed tomography (CT) image reconstruction, the 2*2 acquisition mode improves the collection efficiency of t…
CNN-based Automatic Detection of Bone Conditions via Diagnostic CT Images for Osteoporosis Screening
Chao Tang, Wenkun Zhang, Haiting Li +6
Purpose: The purpose is to design a novelty automatic diagnostic method for osteoporosis screening by using the potential capability of convolutional neural network (CNN) in featur…
Projection Super-resolution Based on Convolutional Neural Network for Computed Tomography
Chao Tang, Wenkun Zhang, Ziheng Li +5
The improvement of computed tomography (CT) image resolution is beneficial to the subsequent medical diagnosis, but it is usually limited by the scanning devices and great expense.…
A Sinogram Inpainting Method based on Generative Adversarial Network for Limited-angle Computed Tomography
Ziheng Li, Wenkun Zhang, Linyuan Wang +4
Limited-angle computed tomography (CT) image reconstruction is a challenging reconstruction problem in the fields of CT. With the development of deep learning, the generative adver…