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An Automatic Non-invasive System for Diagnosis of Tuberculosis

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Applied Computation and Security Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 304))

Abstract

Tuberculosis (TB) is one of the major infectious diseases in the third world countries especially African countries. TB is a curable disease if proper treatment starts on time. Sometimes, it becomes difficult to arrange sufficient infrastructure for diagnosis of the disease in the remote areas of third world countries. Telemedicine partially solves the lack of physician and technicians in the pathological laboratories. The objective of this work is to design a complete setup that can be deployed at the remote areas of the country as a supporting aid of a telemedicine system for the diagnosis of TB. This system performs analysis of images of sputum and cough of patients. Microscopic image of TB bacteria which are stained with pink color is the main criterion for detection of TB disease. This system is still in development stage. A sufficient amount of data are needed for validation of the system.

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Acknowledgments

Authors are thankful to Dr. Bera from K.C. Roy Tuberculosis Hospital, Kolkata, and Dr Soumendu Datta for providing pathological data with relevant knowledge, and the ‘DST-GOI funded PURSE programme,’ at Computer Science & Engineering Department, Jadavpur University, for providing infrastructural facilities during the progress of the work. Finally, we would like to thank Ms. Sweta Tiwari, Ms. Akanksha Ojha, Mr. Amit Roy Chowdury, and Ms. Aayatri Bhoumick; they helped a lot to collect samples.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, RCC Institute of Information Technology, Kolkata, 700015, India

    Pramit Ghosh

  2. Department of Computer Science and Engineering, Jadavpur University, Kolkata, 700032, India

    Debotosh Bhattacharjee & Mita Nasipuri

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  1. Pramit Ghosh
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  2. Debotosh Bhattacharjee
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  3. Mita Nasipuri
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Corresponding author

Correspondence to Pramit Ghosh .

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Editors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, India

    Rituparna Chaki

  2. Faculty of Physics and Applied Computer Sciences, AGH University of Science and Technology, Cracow, Poland

    Khalid Saeed

  3. Department of Computer Science & Engg, University of Calcutta, Kolkata, West Bengal, India

    Sankhayan Choudhury

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

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Ghosh, P., Bhattacharjee, D., Nasipuri, M. (2015). An Automatic Non-invasive System for Diagnosis of Tuberculosis. In: Chaki, R., Saeed, K., Choudhury, S., Chaki, N. (eds) Applied Computation and Security Systems. Advances in Intelligent Systems and Computing, vol 304. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1985-9_5

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  • DOI: https://doi.org/10.1007/978-81-322-1985-9_5

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1984-2

  • Online ISBN: 978-81-322-1985-9

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