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

A. Saraiva, D. Santos, Nator Costa, Jose Sousa, N. Ferreira, Antonio Valente, Salviano Soares

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.

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Paper Citation


in Harvard Style

Saraiva A., Santos D., 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 - Volume 2: BIOIMAGING, ISBN 978-989-758-353-7, pages 76-83. DOI: 10.5220/0007346600760083


in Bibtex Style

@conference{bioimaging19,
author={A. Saraiva and D. Santos and Nator Costa and Jose Sousa and N. 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 - 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 - 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 - Santos D.
AU - Costa N.
AU - Sousa J.
AU - Ferreira N.
AU - Valente A.
AU - Soares S.
PY - 2019
SP - 76
EP - 83
DO - 10.5220/0007346600760083