Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy

Deep learning (DL) has been shown to be effective in developing diabetic retinopathy (DR) algorithms, possibly tackling financial and manpower challenges hindering implementation of DR screening. However, our systematic review of the literature reveals few studies studied the impact of different fac...

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Detalles Bibliográficos
Autores principales: Yip, Michelle Y. T., Lim, Gilbert, Lim, Zhan Wei, Nguyen, Quang D., Chong, Crystal C. Y., Yu, Marco, Bellemo, Valentina, Xie, Yuchen, Lee, Xin Qi, Hamzah, Haslina, Ho, Jinyi, Tan, Tien-En, Sabanayagam, Charumathi, Grzybowski, Andrzej, Tan, Gavin S. W., Hsu, Wynne, Lee, Mong Li, Wong, Tien Yin, Ting, Daniel S. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090044/
https://www.ncbi.nlm.nih.gov/pubmed/32219181
http://dx.doi.org/10.1038/s41746-020-0247-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090044/
https://www.ncbi.nlm.nih.gov/pubmed/32219181
http://dx.doi.org/10.1038/s41746-020-0247-1

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