A literature review: various learning techniques and its applications for eye disease identification using retinal images

In the recent world, artificial intelligence (AI) based learning models are widely used in various applications for medical image analysis. These models based on machine learning. The deep study is implemented for the solution of problems like disease identification and classifying various types of...

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Bibliographic Details
Published in:International journal of information technology (Singapore. Online) 2022-03, Vol.14 (2), p.713-724
Main Authors: Rajyaguru, Vipul, Vithalani, Chandresh, Thanki, Rohit
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Imaging
Computer Science
Image Processing and Computer Vision
Machine Learning
Original Research
Pattern Recognition and Graphics
Software Engineering
Vision
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Summary:In the recent world, artificial intelligence (AI) based learning models are widely used in various applications for medical image analysis. These models based on machine learning. The deep study is implemented for the solution of problems like disease identification and classifying various types of medical images. The detection of glaucoma-related eye disease is a major concern for avoiding early blindness and diagnosis of diabetic effect on the eye. There were many models implemented for the detection of glaucoma-related eye disease. In this paper, various existing models along with its performance are discussed to detect eye disease. This paper discusses the detection of glaucoma using various learning models based on retinal images. Further, future research in this research domain is also discussed based on learning models.
ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-020-00442-8