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Real-Time Biomedical Recursive Images Detection Algorithm for Indian Telemedicine Environment

  • Syed Thouheed Ahmed
  • M. Sandhya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

India is a developing nation with its literacy rate slowly progressing with respect to technological enhancements and services. In India, Telemedicine is blooming research concern, as client-server direct communication is involved. In telemedicine environment, image samples are uploaded at various levels creating a heap of similar images. In this paper, a novel technique is proposed and discussed on reduction of recursive images in Cloud/Server. The technique is based on pixel value density matching with edge extraction under proposed (Real-Time Biomedical Images Recursion Detection (RT-BIRD). The proposed technique is simulated on 12,800 unrepeated UCL machine learning repositories samples with 97.8% of accuracy rate. The results also focus on time for evaluation and processing. This technique is implemented and calibrated using HADOOP platform for optimizing big data infrastructure.

Keywords

Telemedicine Big data Image recursion detection Time optimization Space optimization 

References

  1. 1.
    Patašius, M., Marozas, V., Jegelevièius, D., Lukoševièius, A.: Recursive algorithm for blood vessel detection in eye fundus images: preliminary results. In: Dössel, O., Schlegel, W.C. (eds.) World congress on medical physics and biomedical engineering, Munich, Germany. IFMBE proceedings, vol. 25/11, Springer, Berlin, Heidelberg (2009)Google Scholar
  2. 2.
    http://www.cancerdata.org. Accessed on 15/10/2017
  3. 3.
    Telemedicine Opportunities and developments in Member States, Report on the second global survey on eHealth WHO (ISSN 2220-5462 2010)Google Scholar
  4. 4.
    Patil, K.K., Ahmed, S.T.: Digital tele mammography services for rural India, software components and design protocol. In: International conference on advances in electronics, computers and communications (ICAECC), pp. 1–5 (2014)Google Scholar
  5. 5.
    Ferguson, E.W., et.al.: Survey of global telemedicine. J. Med. Syst. 19(1) (1995)Google Scholar
  6. 6.
    http://www.telemedindia.org/dit.html. Accessed on 23/10/2017
  7. 7.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.School of Computer, Information and Mathematical Sciences, BSA Crescent Institute of Science and Technology(A, Deemed to Be University)ChennaiIndia

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