Ensemble of CheXNet and VGG-19 Feature Extractor with Random Forest Classifier for Pediatric Pneumonia Detection

Author:

Habib Nahida,Hasan Md. Mahmodul,Reza Md. Mahfuz,Rahman Mohammad MotiurORCID

Publisher

Springer Science and Business Media LLC

Reference24 articles.

1. CDC, 2017. https://www.cdc.gov/dotw/pneumonia/index.html. Accessed 22 July 2020.

2. Rudan I, Boschi-Pinto C, Biloglav Z, Mulholland K, Campbell H. Epidemiology and etiology of childhood pneumonia. Bull World Health Organ. 2008;86(5):408–16.

3. Adegbola RA. Childhood pneumonia as a global health priority and the strategic interest of the Bill & Melinda gates foundation. Clin Infect Dis. 2012;54:S89–92.

4. F. Online, 17 lakh Indian children to die due to pneumonia by 2030; here’s how it can be averted. 2018. https://www.financialexpress.com/economy/17-lakh-indian-children-to-die-due-to-pneumonia-by-2030-heres-how-it-can-be-averted/1380390/.

5. Deepa NV, Krishna N, Kumar GH. Feature extraction and classification of X-ray lung images using haralick texture features. Singapore: Springer Nature; 2018. p. 899–907.

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