Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection

By 2040, ~100 million people will have glaucoma. To date, there are a lack of high-efficiency glaucoma diagnostic tools based on visual fields (VFs). Herein, we develop and evaluate the performance of ‘iGlaucoma’, a smartphone application-based deep learning system (DLS) in detecting glaucomatous VF...

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Pubblicato in:NPJ Digit Med
Autori principali: Li, Fei, Song, Diping, Chen, Han, Xiong, Jian, Li, Xingyi, Zhong, Hua, Tang, Guangxian, Fan, Sujie, Lam, Dennis S. C., Pan, Weihua, Zheng, Yajuan, Li, Ying, Qu, Guoxiang, He, Junjun, Wang, Zhe, Jin, Ling, Zhou, Rouxi, Song, Yunhe, Sun, Yi, Cheng, Weijing, Yang, Chunman, Fan, Yazhi, Li, Yingjie, Zhang, Hengli, Yuan, Ye, Xu, Yang, Xiong, Yunfan, Jin, Lingfei, Lv, Aiguo, Niu, Lingzhi, Liu, Yuhong, Li, Shaoli, Zhang, Jiani, Zangwill, Linda M., Frangi, Alejandro F., Aung, Tin, Cheng, Ching-yu, Qiao, Yu, Zhang, Xiulan, Ting, Daniel S. W.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2020
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Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7508974/
https://ncbi.nlm.nih.gov/pubmed/33043147
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-020-00329-9
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