Deep Learning Based Analysis of Ophthalmology: A Systematic Review

INTRODUCTION: Diagnosis of medical-related problems is the biggest issue in every era. In past decades, due to less number of technologies and equipment’s it was challenging to diagnose it. As time passes, technologies i.e. Artificial Intelligence (AI) grow and bec...

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Autores principales:	Puneet Kumar, R. Kumar, M. Gupta
Formato:	article
Lenguaje:	EN
Publicado:	European Alliance for Innovation (EAI) 2021
Materias:	deep learning machine learning diabetic retinopathy age-related macular degeneration glaucoma Medicine R Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/6a60f01ed67647099581ced08eada3ae
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spelling	oai:doaj.org-article:6a60f01ed67647099581ced08eada3ae2021-11-30T11:07:48ZDeep Learning Based Analysis of Ophthalmology: A Systematic Review2411-714510.4108/eai.10-9-2021.170950https://doaj.org/article/6a60f01ed67647099581ced08eada3ae2021-11-01T00:00:00Zhttps://eudl.eu/pdf/10.4108/eai.10-9-2021.170950https://doaj.org/toc/2411-7145INTRODUCTION: Diagnosis of medical-related problems is the biggest issue in every era. In past decades, due to less number of technologies and equipment’s it was challenging to diagnose it. As time passes, technologies i.e. Artificial Intelligence (AI) grow and became popular in the medical field especially in ophthalmology at proliferating rate. But, still, many of the diseases are diagnose manually. (i.e., eye disease disorder) which is time consuming, expensive, and tedious task. Existing prediction systems can resolve medical issues such as ocular disorder but the accuracy of prediction is very less. OBJECTIVES: This study gives a brief overview of the analysis of traditional systems with modern approaches. Further, this study highlights the different allied techniques and impact of transfer learning on ophthalmology for the detection of various eye diseases i.e., Diabetic Retinopathy (DR), Age-related Macular Degeneration (AMD), Glaucoma, etc. METHODS: AI and Machine Learning Technique are used to conduct this research for analysis. RESULTS: The result of this paper concludes AI with allied techniques may reshape and revolutionize the medical community especially in the area of ophthalmology. CONCLUSION: This paper presented a comprehensive review of AI with allied techniques in ophthalmology. In ML and DL-based approaches, CNN provides the most promising results.Puneet KumarR. KumarM. GuptaEuropean Alliance for Innovation (EAI)articledeep learningmachine learningdiabetic retinopathyage-related macular degenerationglaucomaMedicineRMedical technologyR855-855.5ENEAI Endorsed Transactions on Pervasive Health and Technology, Vol 7, Iss 29 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	deep learning machine learning diabetic retinopathy age-related macular degeneration glaucoma Medicine R Medical technology R855-855.5
spellingShingle	deep learning machine learning diabetic retinopathy age-related macular degeneration glaucoma Medicine R Medical technology R855-855.5 Puneet Kumar R. Kumar M. Gupta Deep Learning Based Analysis of Ophthalmology: A Systematic Review
description	INTRODUCTION: Diagnosis of medical-related problems is the biggest issue in every era. In past decades, due to less number of technologies and equipment’s it was challenging to diagnose it. As time passes, technologies i.e. Artificial Intelligence (AI) grow and became popular in the medical field especially in ophthalmology at proliferating rate. But, still, many of the diseases are diagnose manually. (i.e., eye disease disorder) which is time consuming, expensive, and tedious task. Existing prediction systems can resolve medical issues such as ocular disorder but the accuracy of prediction is very less. OBJECTIVES: This study gives a brief overview of the analysis of traditional systems with modern approaches. Further, this study highlights the different allied techniques and impact of transfer learning on ophthalmology for the detection of various eye diseases i.e., Diabetic Retinopathy (DR), Age-related Macular Degeneration (AMD), Glaucoma, etc. METHODS: AI and Machine Learning Technique are used to conduct this research for analysis. RESULTS: The result of this paper concludes AI with allied techniques may reshape and revolutionize the medical community especially in the area of ophthalmology. CONCLUSION: This paper presented a comprehensive review of AI with allied techniques in ophthalmology. In ML and DL-based approaches, CNN provides the most promising results.
format	article
author	Puneet Kumar R. Kumar M. Gupta
author_facet	Puneet Kumar R. Kumar M. Gupta
author_sort	Puneet Kumar
title	Deep Learning Based Analysis of Ophthalmology: A Systematic Review
title_short	Deep Learning Based Analysis of Ophthalmology: A Systematic Review
title_full	Deep Learning Based Analysis of Ophthalmology: A Systematic Review
title_fullStr	Deep Learning Based Analysis of Ophthalmology: A Systematic Review
title_full_unstemmed	Deep Learning Based Analysis of Ophthalmology: A Systematic Review
title_sort	deep learning based analysis of ophthalmology: a systematic review
publisher	European Alliance for Innovation (EAI)
publishDate	2021
url	https://doaj.org/article/6a60f01ed67647099581ced08eada3ae
work_keys_str_mv	AT puneetkumar deeplearningbasedanalysisofophthalmologyasystematicreview AT rkumar deeplearningbasedanalysisofophthalmologyasystematicreview AT mgupta deeplearningbasedanalysisofophthalmologyasystematicreview
_version_	1718406687360024576

Deep Learning Based Analysis of Ophthalmology: A Systematic Review

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