Abstract

MORALES CASTRO, Wendy  and  GUZMAN CABRERA, Rafael. Tuberculosis: Diagnosis using Image Processing. Comp. y Sist. [online]. 2020, vol.24, n.2, pp.875-882.  Epub Oct 04, 2021. ISSN 2007-9737.  https://doi.org/10.13053/cys-24-2-3284.

Tuberculosis is one of the first human diseases of which there is evidence, it´s very harmful and easy to spread through the air. One way to detect tuberculosis is by chest x-rays, by analyzing the x-ray you can obtain the detection of any abnormality (parenchymal, ganglionic or pleural). This paper presents a method that allows the presence of tuberculosis in medical X-ray images to be identified. Three methods of classification were implemented for the evaluation of the method: Support Vector Machine, Logistic Regression and K-Neighbors Classifier. Two classification scenarios were implemented: cross validation and training and test sets. The results obtained allow us to see the viability of the proposed method.

Keywords : Tuberculosis detection; classification of medical images; medical diagnostic.