A Novel Network for Low-Dose CT Denoising Based on Dual-Branch Structure and Multi-Scale Residual Attention.
Deep learning-based denoising of low-dose medical CT images has received great attention both from academic researchers and physicians in recent years, and has shown important application value in clinical practice. In this work, a novel two-branch and multi-scale residual attention-based network fo...
| Published in: | Journal of Imaging Informatics in Medicine Vol. 38; no. 2; pp. 1245 - 1265 |
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| Main Authors: | , , , , , |
| Format: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Apr2025
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| Online Access: | View this record in EBSCOhost |