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An Efficient Segmentation Of Optic Disc Using Convolution Neural Network For Glaucoma Detection In Retinal Images

    Authors

    • C. Raja 1
    • Dr. N. Vinodhkumar 2

    1 Associate Professor Department of ECE Vignsn's Foundation for Science, Technology & Research Andhra Pradesh, India

    2 Department of ECE Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai.

,

Document Type : Research Article

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Abstract

Blindness is a growing problem worldwide. The major causes of blindness are glaucoma and diabetic retinopathy. Increased intraocular pressure causes glaucoma. In glaucoma detection, it is very difficult to identify the edge of the optic cup because the image is blurred where blood vessels pass through the optic cup. Current methods do not effectively address the issue of peripheral blurring of the blood vessels surrounding the optic cup. In this paper, it is recommended to automatically detect glaucoma in retinal images using an efficient method. Initially, optic disk and cup segmentation is done by the Convolution Neural Network (CNN) and Modified Region Growing Mechanism (MRG). Then, texture features are extracted from the separated results. Finally, a neural network is used to diagnose glaucoma. The experimental results demonstrate that the proposed approach achieves better glaucoma detection result (accuracy, sensitivity and specificity) compared to few other approaches.

Keywords

  • Glaucoma detection
  • Convolution Neural Network
  • optic cup
  • optic disc
  • modified region growing
  • segmentation
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European Journal of Molecular & Clinical Medicine
Volume 7, Issue 3
November 2020
Page 2609-2627
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  • Article View: 342
  • PDF Download: 604

APA

Raja, C., & Vinodhkumar, D. N. (2020). An Efficient Segmentation Of Optic Disc Using Convolution Neural Network For Glaucoma Detection In Retinal Images. European Journal of Molecular & Clinical Medicine, 7(3), 2609-2627.

MLA

C. Raja; Dr. N. Vinodhkumar. "An Efficient Segmentation Of Optic Disc Using Convolution Neural Network For Glaucoma Detection In Retinal Images". European Journal of Molecular & Clinical Medicine, 7, 3, 2020, 2609-2627.

HARVARD

Raja, C., Vinodhkumar, D. N. (2020). 'An Efficient Segmentation Of Optic Disc Using Convolution Neural Network For Glaucoma Detection In Retinal Images', European Journal of Molecular & Clinical Medicine, 7(3), pp. 2609-2627.

VANCOUVER

Raja, C., Vinodhkumar, D. N. An Efficient Segmentation Of Optic Disc Using Convolution Neural Network For Glaucoma Detection In Retinal Images. European Journal of Molecular & Clinical Medicine, 2020; 7(3): 2609-2627.

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