Models of Learning to Classify X-ray Images for the Detection of Pneumonia using Neural Networks

A. A. Saraiva, A. A. Saraiva, D. B. S. Santos, Nator Junior C. Costa, Jose Vigno M. Sousa, Jose Vigno M. Sousa, N. M. Fonseca Ferreira, N. M. Fonseca Ferreira, Antonio Valente, Antonio Valente, Salviano Soares

2019

Abstract

This article describes a comparison of two neural networks, the multilayer perceptron and Neural Network, for the detection and classification of pneumonia. The database used was the Chest-X-Ray data set provided by (Kermany et al., 2018) with a total of 5840 images, with two classes, normal and with pneumonia. to validate the models used, cross-validation of k-fold was used. The classification models were efficient, resulting in an average accuracy of 92.16% with the Multilayer Perceptron and 94.40% with the Convolution Neural Network.

Paper Citation

in Harvard Style

Saraiva A., B. S. Santos D., Junior C. Costa N., Sousa J., Ferreira N., Valente A. and Soares S. (2019). Models of Learning to Classify X-ray Images for the Detection of Pneumonia using Neural Networks. In Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING; ISBN 978-989-758-353-7, SciTePress, pages 76-83. DOI: 10.5220/0007346600760083

in Bibtex Style

@conference{bioimaging19,
author={A. A. Saraiva and D. B. S. B. S. Santos and Nator Junior C. Junior C. Costa and Jose Vigno M. Sousa and N. M. Fonseca Ferreira and Antonio Valente and Salviano Soares},
title={Models of Learning to Classify X-ray Images for the Detection of Pneumonia using Neural Networks},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING},
year={2019},
pages={76-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007346600760083},
isbn={978-989-758-353-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 2: BIOIMAGING
TI - Models of Learning to Classify X-ray Images for the Detection of Pneumonia using Neural Networks
SN - 978-989-758-353-7
AU - Saraiva A.
AU - B. S. Santos D.
AU - Junior C. Costa N.
AU - Sousa J.
AU - Ferreira N.
AU - Valente A.
AU - Soares S.
PY - 2019
SP - 76
EP - 83
DO - 10.5220/0007346600760083
PB - SciTePress