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

Authors

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