DIGITAL DETECTION SYSTEM DESIGN OF MYCOBACTERIUM TUBERCULOSIS THROUGH EXTRACTION OF SPUTUM IMAGE USING NEURAL NETWORK METHOD

Authors

  • Franky Arisgraha
    ijtidunair@gmail.com
    Department of Physics, Science & Technology, Faculty Airlangga University, Surabaya, Indonesia
  • Prihartini Widiyanti Department of Physics, Science & Technology, Faculty Airlangga University, Surabaya, Indonesia Institute of Tropical Disease Airlangga University, Surabaya, Indonesia
  • Retna Apsari Department of Physics, Science & Technology, Faculty Airlangga University, Surabaya, Indonesia
July 6, 2015

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Tuberculosis (TBC) is an dangerous disease and many people has been infected. One of many important steps to control TBC effectively and efficiently is by increasing case finding using right method and accurate diagnostic. One of them is to detect Mycobacterium Tuberculosis inside sputum. Conventional detection of Mycobacterium Tuberculosis inside sputum can need a lot of time, so digitally
detection method of Mycobacterium Tuberculosis was designed as an effort to get better result of detection. This method was designed by using combination between digital image processing method and Neural Network method. From testing report that was done, Mycobacterium can be detected with successful value reach 77.5% and training error less than 5%.

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