Hypergraph learning for identification of COVID-19 with CT imaging
Medical Image Analysis(2021)
摘要
•We propose a hypergraph learning method for the identification of COVID-19 cases from CAP cases using multi-type CT features.•We propose an uncertainty vertex-weighted strategy to relieve the effect of noisy data from suspected COVID-19 patients.•We use so far the largest multi-center dataset as 3,330 CT images, and get the best result in identifying COVID-19 from CAP.
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关键词
COVID-19 pneumonia,Uncertainty calculation,Vertex-weighted,Hypergraph learning
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