USING LEARNING VECTOR QUANTIZATION METHOD FOR AUTOMATED IDENTIFICATION OF MYCOBACTERIUM TUBERCULOSIS

Endah Purwanti, Prihartini Widiyanti

= http://dx.doi.org/10.20473/ijtid.v3i1.198
Abstract views = 307 times | views = 206 times

Abstract


In this paper, we are developing an automated method for the detection of tubercle bacilli in clinical specimens, principally the sputum. This investigation is the first attempt to automatically identify TB bacilli in sputum using image processing and learning vector quantization (LVQ) techniques. The evaluation of the learning vector quantization (LVQ) was carried out on Tuberculosis dataset show that average of accuracy is 91,33%.


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Institute of Tropical Disease - Airlangga University
Gedung Lembaga Penyakit Tropis Lt.1, Kampus C Universitas Airlangga
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