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All Journal Indonesian Journal of Tropical and Infectious Disease
Franky Arisgraha
Department of Physics, Science & Technology, Faculty Airlangga University, Surabaya, Indonesia
Earth & Planetary Sciences Health Professions Medicine & Pharmacology Public Health

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DIGITAL DETECTION SYSTEM DESIGN OF MYCOBACTERIUM TUBERCULOSIS THROUGH EXTRACTION OF SPUTUM IMAGE USING NEURAL NETWORK METHOD Franky Arisgraha; Prihartini Widiyanti; Retna Apsari
Indonesian Journal of Tropical and Infectious Disease Vol. 3 No. 1 (2012)
Publisher : Institute of Topical Disease Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (154.924 KB) | DOI: 10.20473/ijtid.v3i1.200

Abstract

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 digitallydetection 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%.
Co-Authors Prihartini Widiyanti Retna Apsari