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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Nurokhim Nurokhim
Pusat Teknologi Keselamatan dan Metrologi Radiasi
Computer Science & IT

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A statistical approach on pulmonary tuberculosis detection system based on X-ray image Ratnasari Nur Rohmah; Bana Handaga; Nurokhim Nurokhim; Indah Soesanti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 3: June 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i3.10546

Abstract

This paper presented the research result on the design of pulmonary TB (Tuberculosis) detection systems using a statistical approach. The study aimed to address two problems in detecting pulmonary TB by doctors, especially in remote areas of Indonesia, namely the long waiting time for patients to get the doctor's diagnosis and the doctor's subjectivity. We used hundreds of X-ray images from radiology department of Sardjito Hospital, Yogyakarta, as primary data and thirty data from various sources on the internet as secondary data. Using statistical approach, we exploited statistical image feature from image histogram, examined two statistical methods of PCA and LDA transformation for feature extraction, and two minimum distance classifier in image classification. We also used histogram equalization in the image enhancement process and bicubic interpolation in image segmentation and template making. Test results on primary and secondary data images show the identification accuracy of 94% and 83.3%, respectively.
Co-Authors Bana Handaga Indah Soesanti Ratnasari Nur Rohmah