A super-resolution network using channel attention retention for pathology images
Image super-resolution (SR) significantly improves the quality of low-resolution images, and is widely used for image reconstruction in various fields. Although the existing SR methods have achieved distinguished results in objective metrics, most methods focus on real-world images and employ large...
Main Authors: | Feiyang Jia, Li Tan, Ge Wang, Caiyan Jia, Zhineng Chen |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-01-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1196.pdf |
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