Indonesian Journal of Tropical and Infectious Disease Vol 3, No 1 (2012)
USING LEARNING VECTOR QUANTIZATION METHOD FOR AUTOMATED IDENTIFICATION OF MYCOBACTERIUM TUBERCULOSIS
Purwanti, Endah( Department of Physics Science & Technology Faculty Airlangga University, Surabaya, Indonesia ) Widiyanti, Prihartini( Institute of Tropical Disease Airlangga University, Surabaya, Indonesia )
Publish Date 06 Jul 2015
In this paper, we are developing an automated method for the detection of tubercle bacilli in clinical specimens, principally theÂ sputum. This investigation is the first attempt to automatically identify TB bacilli in sputum using image processing and learning vectorÂ quantization (LVQ) techniques. The evaluation of the learning vector quantization (LVQ) was carried out on Tuberculosis datasetÂ show that average of accuracy is 91,33%.
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 ...