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...

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Bibliographic Details
Main Authors: Feiyang Jia, Li Tan, Ge Wang, Caiyan Jia, Zhineng Chen
Format: Article
Language:English
Published: PeerJ Inc. 2023-01-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-1196.pdf