Ophthalmic diagnosis using deep learning with fundus images – A critical review
作者：
Highlights：
• Describes important deep learning applications for ophthalmic disease detection.
• Incorporates comparative study for different application areas and comparative analysis of traditional machine learning methods and deep learning methods in this area.
• Discusses important datasets used in this field.
• Discusses critical insights and future research directions.
摘要
•Describes important deep learning applications for ophthalmic disease detection.•Incorporates comparative study for different application areas and comparative analysis of traditional machine learning methods and deep learning methods in this area.•Discusses important datasets used in this field.•Discusses critical insights and future research directions.
论文关键词：Fundus photos,Deep learning,Ophthalmology,Image segmentation,Classification,Fundus image datasets,Retina
论文评审过程：Received 13 July 2019, Revised 4 November 2019, Accepted 5 November 2019, Available online 22 November 2019, Version of Record 13 December 2019.
论文官网地址：https://doi.org/10.1016/j.artmed.2019.101758
