Performance of support vector machines in pneumonia detection using chest x-ray images from Filipino cohorts

Authors

Melrose S. Tia Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Lei Rigi P. Baltazar Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños and Domingo AI Research Center
Ranzivelle Marianne Roxas-Villanueva Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños
Beatrice J. Tiangco National Institutes of Health, University of the Philippine Manila and Department of Medicine, The Medical City
Ethel Dominique E. Viray Department of Medicine, The Medical City
Jason R. Albia Institute of Mathematical Sciences and Physics, University of the Philippines Los Baños and Domingo AI Research Center

Abstract

Studies have shown that computer-aided diagnosis (CAD) systems significantly improve the accuracy and speed of radiologic interpretations of chest x-ray images (CXR). In this study, we developed a machine learning-based CXR image classifier by optimizing support vector machine (SVM) to distinguish pneumonia from normal CXR images. The dataset used to develop the classifier model were generated through a retrospective clinical study conducted in the Philippines. We implemented feature extraction on the pre-processed CXR by considering four statistical feature sets: intensity histogram, invariant moments, Haralick features, and local binary pattern. Results show that the SVM classifier model has 88.33% accuracy, 86.57% precision, 90.63% sensitivity, 86.05% specificity, and 0.94 AUC in distinguishing pneumonia from normal CXR. These results illustrate the potential of a machine learning-based model to facilitate high sensitivity and automated screening of pneumonia.

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Issue

2021: Proceedings of the 39th Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2021-3C-06

Section

Biological and Medical Physics

Published

2021-10-14

How to Cite

[1]

MS Tia, LRP Baltazar, R Roxas-Villanueva, BJ Tiangco, EDE Viray, and JR Albia, Performance of support vector machines in pneumonia detection using chest x-ray images from Filipino cohorts, Proceedings of the Samahang Pisika ng Pilipinas 39, SPP-2021-3C-06 (2021). URL: https://proceedings.spp-online.org/article/view/SPP-2021-3C-06.