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Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 pp 241–253Cite as

A Case Study of Evaluation Factors for Biomedical Images Using Neural Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 327))

Abstract

The overall aim of the research is to compare the retrieved image with the original image with respect to the evaluation factors such as MAE, MSE, PSNR and RMSE which reflects the quality of biomedical image for telemedicine with minimum percentage of error at the recipient side. This paper presents spectral coding technique for biomedical images using neural networks in-order to accomplish the above objectives. This work is in continuity of ongoing research project aimed at developing a system for efficient image compression approach for telemedicine in Saudi Arabia. This work compares the efficiency of proposed technique against existing image compression techniques viz JPEG2000 and improved BPNN. To my knowledge, the research is the primary in providing a comparative study of evaluation factors with other techniques used in compression of biomedical images. This work is explored and tested on biomedical images such as X-rays, CT, MRI, PET etc.

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Author information

Authors and Affiliations

  1. Department of Information Systems, College of Computer and Information Sciences, Al Imam Mohammad Ibn Saud Islamic University (IMSIU), P.O. Box 5701, Riyadh, 11432, Saudi Arabia

    Abdul Khader Jilani Saudagar

Authors
  1. Abdul Khader Jilani Saudagar
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Correspondence to Abdul Khader Jilani Saudagar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Bhubaneswar Engineering College, Bhubaneswar, Odisha, India

    Bhabendra Narayan Biswal

  3. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K. Udgata

  4. Department of Computer Science and Engineering, University of Kalyanai, Faculty of Engg., Tech. & Management, Kalyanai, West Bengal, India

    J.K. Mandal

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Jilani Saudagar, A.K. (2015). A Case Study of Evaluation Factors for Biomedical Images Using Neural Networks. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_27

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  • DOI: https://doi.org/10.1007/978-3-319-11933-5_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11932-8

  • Online ISBN: 978-3-319-11933-5

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