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phat 21(27): e3

Research Article

Review on the Role of Macular Edema in Retinopathy, Blindness and Automated Diagnosis Methods

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  • @ARTICLE{10.4108/eai.17-3-2021.169034,
        author={M. J. Barman and D. Deb and M. K. Hassan and B. Choudhury},
        title={Review on the Role of Macular Edema in Retinopathy, Blindness and Automated Diagnosis Methods},
        journal={EAI Endorsed Transactions on Pervasive Health and Technology},
        volume={7},
        number={27},
        publisher={EAI},
        journal_a={PHAT},
        year={2021},
        month={3},
        keywords={Macula, Retinal Abnormality, Macular Edema, Cystoid Macular Edema, Blindness, Computer aided diagnosis},
        doi={10.4108/eai.17-3-2021.169034}
    }
    
  • M. J. Barman
    D. Deb
    M. K. Hassan
    B. Choudhury
    Year: 2021
    Review on the Role of Macular Edema in Retinopathy, Blindness and Automated Diagnosis Methods
    PHAT
    EAI
    DOI: 10.4108/eai.17-3-2021.169034
M. J. Barman1, D. Deb1, M. K. Hassan1, B. Choudhury1,*
  • 1: Department of Computer Science and Engineering, Assam down town University, Guwahati, India
*Contact email: bismi.choudhury@gmail.com

Abstract

INTRODUCTION: Macular edema is not a disease itself, but, a very common condition in most of the retinal diseases, such as diabetic retinopathy, retinal vein occlusion, hypertensive retinopathy, age-related macular edema, etc. and post-ocular surgery.

OBJECTIVES: We have discussed how macular edema plays an important role in blindness in case of various retinal blood vascular diseases and post-ophthalmic surgery. We have analyzed vast state-of-the-art methods for retinal abnormality detection.

METHODS: The proposed method uses a semi-automated macula segmentation approach and Local Binary Pattern features to train k-Nearest Neighbor classifier and performs binary classification.

RESULTS: We have achieved 80% accuracy and 90% sensitivity in classifying normal and abnormal retina.

CONCLUSION: We justified the notion that it will be beneficial to have a method that can analyse the macula region and alert if there is any abnormality near that region to prevent vision loss.

Keywords
Macula, Retinal Abnormality, Macular Edema, Cystoid Macular Edema, Blindness, Computer aided diagnosis
Received
2020-11-09
Accepted
2021-03-08
Published
2021-03-17
Publisher
EAI
http://dx.doi.org/10.4108/eai.17-3-2021.169034

Copyright © 2021 M. J. Barman et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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