COVID-19 classification in X-ray chest images using a new convolutional neural network: CNN-COVID-Reference-Cited by-同舟云学术

COVID-19 classification in X-ray chest images using a new convolutional neural network: CNN-COVID

Published:2021-01-04 Issue: Volume: Page:
ISSN:2446-4732
Container-title:Research on Biomedical Engineering
language:en
Short-container-title:Res. Biomed. Eng.

Author:

de Sousa Pedro Moisés^ORCID,Carneiro Pedro Cunha^ORCID,Oliveira Mariane Modesto^ORCID,Pereira Gabrielle Macedo^ORCID,da Costa Junior Carlos Alberto^ORCID,de Moura Luis Vinicius^ORCID,Mattjie Christian^ORCID,da Silva Ana Maria Marques^ORCID,Patrocinio Ana Claudia^ORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s42600-020-00120-5.pdf

Reference32 articles.

1. Abbas A, Abdelsamea M, Gaber M. Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. medRxiv. 2020. https://doi.org/10.1101/2020.03.30.20047456.

2. Aggarwal CC, et al. Neural networks and deep learning. Springer. 2018;10:978–3. https://doi.org/10.1007/978-3-319-94463-0.

3. Ai T, Yang Z, Hou H, Zhan C, Chen C, Lv W, et al. Correlation of chest CT and RT-PCR testing in coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology. 2020;10:200642–E40. https://doi.org/10.1148/radiol.2020200642.

4. Balas VE, et al. (Ed.). Handbook of deep learning applications. Springer, 2019; https://doi.org/10.1007/978-3-030-11479-4

5. Chollet F. Building powerful image classification models using very little data. Keras Blog, 2016. https://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html. Acessado em 01 de junho de 2020.

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