Lung radiomics features selection for copd stage classification based on auto-metric graph neural network

HIGHLIGHTS

• who: Yingjian Yang et al. from the College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China have published the paper: Lung Radiomics Features Selection for COPD Stage Classification Based on Auto-Metric Graph Neural Network, in the Journal: Diagnostics 2022, 12, x FOR PEER REVIEW 17 of2- 234. Figure 6. Visual evaluation metrics and ROC curves of the AMGNN classifier in Experiments of May/25,/2009
• what: The authors focus on COPD and construct a novel lung radiomics combination vector based on the AMGNN for COPD stage classification. The contributions in this paper . . .
  

   

  

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