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Comparative Analysis of Neural Model and Statistical Model for Abnormal Retinal Image Segmentation

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Book cover Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 236))

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Abstract

Artificial Neural Networks (ANN) are gaining significant importance in the medical field, especially in the area of ophthalmology. Though the performance of ANN is theoretically stated, the practical applications of ANN are not fully explored. In this work, the suitability of Back Propagation Neural Network (BPN) for ophthalmologic applications is highlighted in the context of retinal blood vessel segmentation. The neural technique is tested with Diabetic Retinopathy (DR) images. The performance of the BPN is compared with the k-Nearest Neighbor (k-NN) classifier which is a statistical classifier. Experimental results verify the superior nature of the BPN over the k-NN approach

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Acknowledgments

The authors thank Dr. A. Indumathy, Lotus Eye Care Hospital, Coimbatore, India for her help regarding database validation. The authors also thank the Council of Scientific and Industrial Research (CSIR), New Delhi, India for the financial assistance towards this research (Scheme No: 22(0592)/12/EMR-II).

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Authors and Affiliations

  1. Department of ECE, Karunya University, Coimbatore, India

    D. Jude Hemanth & J. Anitha

Authors
  1. D. Jude Hemanth
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  2. J. Anitha
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Corresponding author

Correspondence to D. Jude Hemanth .

Editor information

Editors and Affiliations

  1. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    B. V. Babu

  2. Department of Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

  5. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  6. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Kanad Ray

  7. Institute of Engineering and Technology, JK Lakshmipat University, Jaipur, Rajasthan, India

    Umesh Gupta

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Hemanth, D.J., Anitha, J. (2014). Comparative Analysis of Neural Model and Statistical Model for Abnormal Retinal Image Segmentation. In: Babu, B., et al. Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012. Advances in Intelligent Systems and Computing, vol 236. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1602-5_100

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  • DOI: https://doi.org/10.1007/978-81-322-1602-5_100

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1601-8

  • Online ISBN: 978-81-322-1602-5

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