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,...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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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