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- W4285151677 abstract "In recent years, there has been an unprecedented growth in computer vision and deep learning implementation owing to the exponential rise of computation infrastructure. The same was also reflected in retinal image analysis and successful artificial intelligence models were developed for various retinal disease diagnoses using a wide variety of visual markers obtained from eye fundus images. This article presents a comprehensive study of different deep learning strategies employed in recent times for the diagnosis of five major eye diseases, i.e., Diabetic retinopathy, Glaucoma, age-related macular degeneration, Cataract, and Retinopathy of prematurity. This article is organized according to the deep learning implementation process pipeline, where commonly used datasets, evaluation metrics, image pre-processing techniques, and deep learning backbone models are first illustrated followed by an extensive review of different strategies for each of the five mentioned retinal diseases is presented. Finally, this article summarizes eight major research directions available in the field of retinal disease diagnosis and outlines key challenges and future scope for the present research community." @default.
- W4285151677 created "2022-07-14" @default.
- W4285151677 creator A5001511958 @default.
- W4285151677 creator A5005365069 @default.
- W4285151677 creator A5075042593 @default.
- W4285151677 creator A5086527348 @default.
- W4285151677 date "2022-01-01" @default.
- W4285151677 modified "2023-10-04" @default.
- W4285151677 title "A Comprehensive Review of Deep Learning Strategies in Retinal Disease Diagnosis Using Fundus Images" @default.
- W4285151677 cites W1539221256 @default.
- W4285151677 cites W1903029394 @default.
- W4285151677 cites W1969496006 @default.
- W4285151677 cites W1974969377 @default.
- W4285151677 cites W1982890488 @default.
- W4285151677 cites W1997259062 @default.
- W4285151677 cites W2033723371 @default.
- W4285151677 cites W2034786340 @default.
- W4285151677 cites W2045227075 @default.
- W4285151677 cites W2053369310 @default.
- W4285151677 cites W2054928682 @default.
- W4285151677 cites W2062978042 @default.
- W4285151677 cites W2073244572 @default.
- W4285151677 cites W2100756624 @default.
- W4285151677 cites W2107871626 @default.
- W4285151677 cites W2112796928 @default.
- W4285151677 cites W2121279421 @default.
- W4285151677 cites W2129098176 @default.
- W4285151677 cites W2134670624 @default.
- W4285151677 cites W2138480916 @default.
- W4285151677 cites W2145305441 @default.
- W4285151677 cites W2150769593 @default.
- W4285151677 cites W2160226180 @default.
- W4285151677 cites W2169961704 @default.
- W4285151677 cites W2170203892 @default.
- W4285151677 cites W2176950688 @default.
- W4285151677 cites W2194775991 @default.
- W4285151677 cites W2395083517 @default.
- W4285151677 cites W2501861162 @default.
- W4285151677 cites W2558766938 @default.
- W4285151677 cites W2566154985 @default.
- W4285151677 cites W2736916462 @default.
- W4285151677 cites W2766273992 @default.
- W4285151677 cites W2790291405 @default.
- W4285151677 cites W2828862258 @default.
- W4285151677 cites W2896202701 @default.
- W4285151677 cites W2901158775 @default.
- W4285151677 cites W2901661131 @default.
- W4285151677 cites W2905395078 @default.
- W4285151677 cites W2906258544 @default.
- W4285151677 cites W2923524561 @default.
- W4285151677 cites W2939250925 @default.
- W4285151677 cites W2943985260 @default.
- W4285151677 cites W2944420341 @default.
- W4285151677 cites W2948685905 @default.
- W4285151677 cites W2952416588 @default.
- W4285151677 cites W2960170118 @default.
- W4285151677 cites W2963142663 @default.
- W4285151677 cites W2964087585 @default.
- W4285151677 cites W2964291324 @default.
- W4285151677 cites W2965410183 @default.
- W4285151677 cites W2966042060 @default.
- W4285151677 cites W2966096374 @default.
- W4285151677 cites W2966989968 @default.
- W4285151677 cites W2972844301 @default.
- W4285151677 cites W2976808722 @default.
- W4285151677 cites W2979448322 @default.
- W4285151677 cites W2980444207 @default.
- W4285151677 cites W2981699788 @default.
- W4285151677 cites W2990460508 @default.
- W4285151677 cites W2991315466 @default.
- W4285151677 cites W2995527107 @default.
- W4285151677 cites W3000639041 @default.
- W4285151677 cites W3004396616 @default.
- W4285151677 cites W3006229125 @default.
- W4285151677 cites W3008973472 @default.
- W4285151677 cites W3010373058 @default.
- W4285151677 cites W3010500903 @default.
- W4285151677 cites W3018518800 @default.
- W4285151677 cites W3022092973 @default.
- W4285151677 cites W3022960093 @default.
- W4285151677 cites W3025283958 @default.
- W4285151677 cites W3033179043 @default.
- W4285151677 cites W3035320825 @default.
- W4285151677 cites W3036827192 @default.
- W4285151677 cites W3037009403 @default.
- W4285151677 cites W3037093670 @default.
- W4285151677 cites W3037640857 @default.
- W4285151677 cites W3044138845 @default.
- W4285151677 cites W3045967759 @default.
- W4285151677 cites W3046021838 @default.
- W4285151677 cites W3048451585 @default.
- W4285151677 cites W3073883490 @default.
- W4285151677 cites W3080237389 @default.
- W4285151677 cites W3083129678 @default.
- W4285151677 cites W3084620223 @default.
- W4285151677 cites W3089025284 @default.
- W4285151677 cites W3089833580 @default.
- W4285151677 cites W3091119025 @default.