Recurrent learning with clique structures for prostate sparse‐view CT artifacts reduction
Abstract In recent years, convolutional neural networks have achieved great success in streak artifacts reduction. However, there is no special method designed for the artifacts reduction of the prostate. To solve the problem, the artifacts reduction CliqueNet (ARCliqueNet) to reconstruct dense‐view...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-02-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12048 |