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DeepQuality improves infant retinopathy screening
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 misdiagnosis. Here,...
Autores principales: | Li, Longhui, Lin, Duoru, Lin, Zhenzhe, Li, Mingyuan, Lian, Zhangkai, Zhao, Lanqin, Wu, Xiaohang, Liu, Lixue, Liu, Jiali, Wei, Xiaoyue, Luo, Mingjie, Zeng, Danqi, Yan, Anqi, Iao, Wai Cheng, Shang, Yuanjun, Xu, Fabao, Xiang, Wei, He, Muchen, Fu, Zhe, Wang, Xueyu, Deng, Yaru, Fan, Xinyan, Ye, Zhijun, Wei, Meirong, Zhang, Jianping, Liu, Baohai, Li, Jianqiao, Ding, Xiaoyan, Lin, Haotian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579317/ https://www.ncbi.nlm.nih.gov/pubmed/37845275 http://dx.doi.org/10.1038/s41746-023-00943-3 |
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