Detection of COVID-19 With CT Images Using Hybrid Complex Shearlet Scattering Networks

With the ongoing worldwide coronavirus disease 2019 (COVID-19) pandemic, it is desirable to develop effective algorithms to automatically detect COVID-19 with chest computed tomography (CT) images. Recently, a considerable number of methods based on deep learning have indeed been proposed. However,...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2022-01, Vol.26 (1), p.194-205
Hauptverfasser:	Ren, Qingyun, Zhou, Bingyin, Tian, Liang, Guo, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Chest complex shearlet scattering transform Computed tomography computed tomography image Coronaviruses COVID-19 Datasets Deep Learning Feature extraction Humans Image representation Low pass filters Machine learning Medical imaging Neural networks Pandemics Representations SARS-CoV-2 Scattering Thorax Tomography, X-Ray Computed Viral diseases Wavelet transforms
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