Classification of Images of Childhood Pneumonia using Convolutional Neural Networks

A. Saraiva, N. Ferreira, Luciano Lopes de Sousa, Nator Costa, José Sousa, D. Santos, Antonio Valente, Salviano Soares

Abstract

In this paper we describe a comparative classification of Pneumonia using Convolution Neural Network. The database used was the dataset Labeled Optical Coherence Tomography (OCT) and Chest X-Ray Images for Classification made available by (Kermany, 2018) with a total of 5863 images, with 2 classes: normal and pneumonia. To evaluate the generalization capacity of the models, cross-validation of k-fold was used. The classification models proved to be efficient compared to the work of (Kermany et al., 2018) which obtained 92.8 % and the present work had an average accuracy of 95.30 %.

Download


Paper Citation


in Harvard Style

Saraiva A., Ferreira N., Lopes de Sousa L., Costa N., Sousa J., Santos D., Valente A. and Soares S. (2019). Classification of Images of Childhood Pneumonia using Convolutional 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 112-119. DOI: 10.5220/0007404301120119


in Bibtex Style

@conference{bioimaging19,
author={A. Saraiva and N. Ferreira and Luciano Lopes de Sousa and Nator Costa and José Sousa and D. Santos and Antonio Valente and Salviano Soares},
title={Classification of Images of Childhood Pneumonia using Convolutional Neural Networks},
booktitle={Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING,},
year={2019},
pages={112-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007404301120119},
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 - Classification of Images of Childhood Pneumonia using Convolutional Neural Networks
SN - 978-989-758-353-7
AU - Saraiva A.
AU - Ferreira N.
AU - Lopes de Sousa L.
AU - Costa N.
AU - Sousa J.
AU - Santos D.
AU - Valente A.
AU - Soares S.
PY - 2019
SP - 112
EP - 119
DO - 10.5220/0007404301120119