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

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

Abstract 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 diff...

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Autores principales: Michelle Y. T. Yip, Gilbert Lim, Zhan Wei Lim, Quang D. Nguyen, Crystal C. Y. Chong, Marco Yu, Valentina Bellemo, Yuchen Xie, Xin Qi Lee, Haslina Hamzah, Jinyi Ho, Tien-En Tan, Charumathi Sabanayagam, Andrzej Grzybowski, Gavin S. W. Tan, Wynne Hsu, Mong Li Lee, Tien Yin Wong, Daniel S. W. Ting
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
Computer applications to medicine. Medical informatics
R858-859.7
Acceso en línea:https://doaj.org/article/465788d7e8eb44a1b4e7db09b3dfd067
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