SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network

•Introduction of a new architecture SARS-Net.•It is a CADx system combining graph convolutional network and convolutional neural network model for detecting abnormalities in a patient's CXR images for the presence of COVID-19 infection in a patient.•We introduce and evaluate the performance of...

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Veröffentlicht in:	Pattern recognition 2022-02, Vol.122, p.108255-108255, Article 108255
Hauptverfasser:	Kumar, Aayush, Tripathi, Ayush R, Satapathy, Suresh Chandra, Zhang, Yu-Dong
Format:	Artikel
Sprache:	eng
Schlagworte:	Chest X-ray Convolutional neural network COVID-19 detection Deep learning Graph convolutional network
Online-Zugang:	Volltext
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