Feasibility study of single-image super-resolution scanning system based on deep learning for pathological diagnosis of oral epithelial dysplasia

This study aimed to evaluate the feasibility of applying deep learning combined with a super-resolution scanner for the digital scanning and diagnosis of oral epithelial dysplasia (OED) slides. A model of a super-resolution digital slide scanning system based on deep learning was built and trained u...

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Bibliographic Details
Main Authors: Zhaochen Liu, Peiyan Wang, Nian Deng, Hui Zhang, Fangjie Xin, Xiaofei Yu, Mujie Yuan, Qiyue Yu, Yuhao Tang, Keke Dou, Jie Zhao, Bing He, Jing Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Medicine
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Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1550512/full
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