PCT-GAN: A Real CT Image Super-Resolution Model for Trabecular Bone Restoration
Author:
Affiliation:
1. The University of Hong Kong,School of Clinical Medicine,Department of Orthopaedics and Traumatology,Hong Kong SAR,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230389.pdf?arnumber=10230389
Reference25 articles.
1. CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE)
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3. Generation of Vertebra Micro-CT-like Image from MDCT: A Deep-Learning-Based Image Enhancement Approach
4. Deep learning based high-resolution reconstruction of trabecular bone microstructures from low-resolution CT scans using GAN-CIRCLE
5. Learning a deep convolutional network for image super-resolution;dong;European Conference Computer Vision,2014
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