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An Entropy-Based Hybrid Vessel Segmentation Approach for Diabetic Retinopathy Screening in the Fundus Image

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Proceedings of International Joint Conference on Advances in Computational Intelligence (IJCACI 2022)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Retinal vessel segmentation in fundus image has a significant role in detecting ocular disorders such as hypertension and Diabetic Retinopathy (DR). The blood vessels occupy a vast area in the eye, hampering the visual exploration of the pathologic signs in the retina. Therefore, it is necessary to extract the blood capillaries accurately for effective DR screening. However, manual delineation of the vessel structure is challenging, tedious, and time-consuming due to its intricate size and shape. This study integrates a deep joint segmentation algorithm with a sparse Fuzzy C-Means (FCM) clustering approach to create an entropy-based hybrid technique for extracting the blood vessels. A preprocessing step removes the noise, corrects the illumination, and enhances the contrast before the segmentation. By achieving 97.7% accuracy, 98.5% specificity, and 0.987 AUC in the DRIVE dataset and 97.9% accuracy, 98.9% specificity, and 0.991 AUC in the STARE dataset, the developed method outperforms the existing techniques. The experimental results illustrate the effectiveness of the suggested method in vessel segmentation.

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Authors and Affiliations

  1. Department of Computer Science, Nesamony Memorial Christian College, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India

    A. Mary Dayana & W. R. Sam Emmanuel

Authors
  1. A. Mary Dayana
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  2. W. R. Sam Emmanuel
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Corresponding author

Correspondence to A. Mary Dayana .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh

    Mohammad Shorif Uddin

  2. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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Dayana, A.M., Emmanuel, W.R.S. (2023). An Entropy-Based Hybrid Vessel Segmentation Approach for Diabetic Retinopathy Screening in the Fundus Image. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1435-7_3

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