Ensemble Deep Learning for the Detection of COVID-19 in Unbalanced Chest X-ray Dataset

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Ensemble Deep Learning for the Detection of COVID-19 in Unbalanced Chest X-ray Dataset

The ongoing COVID-19 pandemic has caused devastating effects on humanity worldwide. With practical advantages and wide accessibility, chest X-rays (CXRs) play vital roles in the diagnosis of COVID-19 and the evaluation of the extent of lung damages incurred by the virus. This study aimed to leverage...

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Bibliographic Details
Main Authors:	Khin Yadanar Win, Noppadol Maneerat, Syna Sreng, Kazuhiko Hamamoto
Format:	article
Language:	EN
Published:	MDPI AG 2021
Subjects:	COVID-19 chest X-rays deep learning ensemble learning image augmentation oversampling Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Online Access:	https://doaj.org/article/4cb34389d3d5420d848a1865b585639c
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