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.