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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| 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 |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-03-01
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| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1550512/full |
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