Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network

The COVID-19 coronavirus has spread rapidly around the world and has caused global panic. Chest CT images play a major role in confirming positive COVID-19 patients. The computer aided diagnosis of COVID-19 from CT images based on artificial intelligence have been developed and deployed in some hosp...

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Veröffentlicht in:	Health information science and systems 2021-02, Vol.9 (1), p.10, Article 10
Hauptverfasser:	Tan, Wenjun, Liu, Pan, Li, Xiaoshuo, Liu, Yao, Zhou, Qinghua, Chen, Chao, Gong, Zhaoxuan, Yin, Xiaoxia, Zhang, Yanchun
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Bacterial pneumonia Bioinformatics Cable television broadcasting industry Chest Computational Biology/Bioinformatics Computed tomography Computer Science Coronaviruses COVID-19 CT imaging Datasets Diagnosis Diagnostic systems Health Informatics Image classification Image quality Image reconstruction Image resolution Information management Information Systems and Communication Service Lungs Machine learning Medical care Medical imaging Medical imaging equipment Neural networks Pneumonia Quality management Special Issue on COVID-19 Tomography
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