Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

•We proposed a novel framework, CHP-Net, to differentiate and localize COVID-19 from community acquired pneumonia.•We used excessive data augmentation to extend the available dataset and optimize the CHP-Net generalization capability.•Comparing to other ConvNet, CHP-Net works much more efficiently t...

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Vydáno v:	Pattern recognition Ročník 110; s. 107613
Hlavní autoři:	Wang, Zheng, Xiao, Ying, Li, Yong, Zhang, Jie, Lu, Fanggen, Hou, Muzhou, Liu, Xiaowei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier Ltd 01.02.2021
Témata:	Chest X-ray (CXR) Community-acquired pneumonia (CAP) Computer-aided detection (CAD) COVID-19 Deep learning (DL) COVID-19 Computer-aided detection (CAD) Community-acquired pneumonia (CAP) Deep learning (DL) Chest X-ray (CXR)
ISSN:	0031-3203, 1873-5142, 0031-3203
On-line přístup:	Získat plný text
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