Indonesian Journal of Tropical and Infectious Disease
Vol 3, No 1 (2012)

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

Arisgraha, Franky ( Department of Physics, Science & Technology, Faculty Airlangga University, Surabaya, Indonesia )
Widiyanti, Prihartini ( Department of Physics, Science & Technology, Faculty Airlangga University, Surabaya, Indonesia Institute of Tropical Disease Airlangga University, Surabaya, Indonesia )
Apsari, Retna ( Department of Physics, Science & Technology, Faculty Airlangga University, Surabaya, Indonesia )



Article Info

Publish Date
06 Jul 2015

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%.

Copyrights © 2012






Journal Info

Abbrev

IJTID

Publisher

Subject

Earth & Planetary Sciences Health Professions Medicine & Pharmacology Public Health

Description

This journal is a peer-reviewed journal established to promote the recognition of emerging and reemerging diseases specifically in Indonesia, South East Asia, other tropical countries and around the world, and to improve the understanding of factors involved in disease emergence, prevention, and ...