Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images

Chest computed tomography (CT) is crucial in the diagnosis of coronavirus disease 2019 (COVID-19). However, the persistent pandemic and similar CT manifestations between COVID-19 and community-acquired pneumonia (CAP) raise methodological requirements. A fully automatic pipeline of deep learning is...

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Veröffentlicht in:	Computers in biology and medicine 2022-02, Vol.141, p.105182-105182, Article 105182
Hauptverfasser:	Qi, Qianqian, Qi, Shouliang, Wu, Yanan, Li, Chen, Tian, Bin, Xia, Shuyue, Ren, Jigang, Yang, Liming, Wang, Hanlin, Yu, Hui
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Capsule network Community-acquired pneumonia Computed tomography Coronavirus disease 2019 Coronaviruses COVID-19 Datasets Deep Learning Diagnosis Humans Image acquisition Image segmentation Lesions Lung computed tomography image Lungs Medical imaging Modules Neural networks Neural Networks, Computer Pandemics Pneumonia Pneumonia - diagnostic imaging Predictions SARS-CoV-2 Tomography, X-Ray Computed Viral diseases X-rays
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