research-article

Optic disc and optic cup segmentation from retinal images using hybrid approach

Authors:

Niharika Thakur,

Mamta JunejaAuthors Info & Claims

Volume 127, Issue C

Pages 308 - 322

https://doi.org/10.1016/j.eswa.2019.03.009

Published: 01 August 2019 Publication History

Highlights

•

Glaucoma is an eye disease caused due to raise in the intraocular pressure of eye.

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Clinical evaluation of glaucoma is manual and time consuming.

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Thus, there is a need of an approach which could minimize the time and manual task.

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This paper presents a hybrid approach for optic disc and optic cup segmentation.

Abstract

In the present scenario, humans are surrounded by numerous diseases which affect their lifestyles. One such condition is glaucoma which originates due to sudden stress in the eye, generally termed as intraocular pressure culminating in the affliction of the optic nerve and permanent loss of vision. It is the second highest characteristic root of blindness. The optic nerve is liable for a transference of visual details to the brain from retina leading one to locate the exterior world. Clinical diagnosis of glaucoma includes an examination of the optic cup, optic disc and measurement of intraocular pressure by tonometer, pachymetry, etc. All these tasks are manual and time-consuming hence, a computer-aided diagnosis (CAD) system is needed for evaluation of glaucoma which can be done by analysis of optic disc and optic cup present in retinal fundus images using image processing approaches. Here, optic disc represents the entrance of optic nerve and site from where retinal nerve cells approach towards each other while, the optic cup is the centric depression of irregular size residing on the disc. In this work, a Level Set Based Adaptively Regularized Kernel-Based Intuitionistic Fuzzy C means (LARKIFCM) based approach is proposed for segmentation of optic disc and optic cup in retinal fundus images with improved performance for accurate diagnosis.

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Cited By

Gobinath CGopinath M(2024)Deep convolutional neural network for glaucoma detection based on image classificationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23436346:1(1957-1971)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/JIFS-234363
Jayachandran AGanesh S(2024)Deep CNN-based microaneurysm segmentation system in retinal images using multi-level featuresJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23015446:2(4841-4857)Online publication date: 14-Feb-2024
https://dl.acm.org/doi/10.3233/JIFS-230154
Perumal TJayachandran AKumar S(2024)Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysisKnowledge and Information Systems10.1007/s10115-023-01991-766:2(1403-1423)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s10115-023-01991-7
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Index Terms

Optic disc and optic cup segmentation from retinal images using hybrid approach
1. Applied computing
  1. Life and medical sciences
    1. Health care information systems
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Image segmentation
        Video segmentation
  2. Machine learning
    1. Machine learning algorithms

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 127, Issue C

Aug 2019

370 pages

ISSN:0957-4174

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Elsevier Ltd.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 August 2019

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Cited By

Gobinath CGopinath M(2024)Deep convolutional neural network for glaucoma detection based on image classificationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23436346:1(1957-1971)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/JIFS-234363
Jayachandran AGanesh S(2024)Deep CNN-based microaneurysm segmentation system in retinal images using multi-level featuresJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-23015446:2(4841-4857)Online publication date: 14-Feb-2024
https://dl.acm.org/doi/10.3233/JIFS-230154
Perumal TJayachandran AKumar S(2024)Microaneurysms detection in fundus images using local Fourier transform and neighbourhood analysisKnowledge and Information Systems10.1007/s10115-023-01991-766:2(1403-1423)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1007/s10115-023-01991-7
Pathan SKumar PPai RBhandary S(2023)An automated classification framework for glaucoma detection in fundus images using ensemble of dynamic selection methodsProgress in Artificial Intelligence10.1007/s13748-023-00304-x12:3(287-301)Online publication date: 28-Jul-2023
https://dl.acm.org/doi/10.1007/s13748-023-00304-x
Fang LZhang L(2022)Segmentation of the optic disc and optic cup using a machine learning-based biregional contour evolution model for the cup-to-disc ratioMultimedia Tools and Applications10.1007/s11042-021-11583-881:25(36217-36238)Online publication date: 1-Oct-2022
https://dl.acm.org/doi/10.1007/s11042-021-11583-8
Varshney AMuhuri PLohani Q(2022)Density-based IFCM along with its interval valued and probabilistic extensions, and a review of intuitionistic fuzzy clustering methodsArtificial Intelligence Review10.1007/s10462-022-10236-y56:4(3755-3795)Online publication date: 14-Sep-2022
https://dl.acm.org/doi/10.1007/s10462-022-10236-y
Wang JJin YWang L(2022)Personalizing Federated Medical Image Segmentation via Local CalibrationComputer Vision – ECCV 202210.1007/978-3-031-19803-8_27(456-472)Online publication date: 23-Oct-2022
https://dl.acm.org/doi/10.1007/978-3-031-19803-8_27
Liu XZheng JWang L(2021)Research on Contour Detection Model Based on Primary Visual Path Response MechanismProceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence10.1145/3508546.3508563(1-6)Online publication date: 22-Dec-2021
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Nage PShitole S(2021)A Survey on Automatic Diabetic Retinopathy ScreeningSN Computer Science10.1007/s42979-021-00833-z2:6Online publication date: 31-Aug-2021
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Jiang YGao JWang F(2020)Joint Optic Disc and Optic Cup Segmentation Based on New Skip-Link Attention Guidance Network and Polar TransformationNeural Information Processing10.1007/978-3-030-63830-6_34(399-410)Online publication date: 18-Nov-2020
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