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DeepQuality improves infant retinopathy screening

Abstract Image quality variation is a prominent cause of performance degradation for intelligent disease diagnostic models in clinical applications. Image quality issues are particularly prominent in infantile fundus photography due to poor patient cooperation, which poses a high risk of misdiagnosi...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Longhui Li, Duoru Lin, Zhenzhe Lin, Mingyuan Li, Zhangkai Lian, Lanqin Zhao, Xiaohang Wu, Lixue Liu, Jiali Liu, Xiaoyue Wei, Mingjie Luo, Danqi Zeng, Anqi Yan, Wai Cheng Iao, Yuanjun Shang, Fabao Xu, Wei Xiang, Muchen He, Zhe Fu, Xueyu Wang, Yaru Deng, Xinyan Fan, Zhijun Ye, Meirong Wei, Jianping Zhang, Baohai Liu, Jianqiao Li, Xiaoyan Ding, Haotian Lin
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2023-10-01
Schriftenreihe:npj Digital Medicine
Online-Zugang:https://doi.org/10.1038/s41746-023-00943-3
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