An Ultra-sparse View CT Imaging Method Based on X-ray2CTNet
Author:
Affiliation:
1. State Key Laboratory for Electronic Testing Technology, North University of China, Shanxi, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Mathematics,Computer Science Applications,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6745852/9679468/09875205.pdf?arnumber=9875205
Reference47 articles.
1. X-ray2Shape: Reconstruction of 3D Liver Shape from a Single 2D Projection Image
2. DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network
3. Layouts From Panoramic Images With Geometry and Deep Learning
4. A Point Set Generation Network for 3D Object Reconstruction from a Single Image
5. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
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