A semi‐supervised learning method of latent features based on convolutional neural networks for CT metal artifact reduction
Author:
Affiliation:
1. School of Microelectronics Tianjin University Tianjin China
2. Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology Tianjin China
3. School of Mathematical Sciences Tianjin Normal University Tianjin China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15633
Reference43 articles.
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2. Fast Enhanced CT Metal Artifact Reduction Using Data Domain Deep Learning
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5. Reduction of CT artifacts caused by metallic implants.
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