Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features

Abstract

We identified radiomic features that were significantly associated with the classification of COVID-19 pneumonia using multiple classifiers. The quantifiable interpretation of the differences in features between the two groups extends our understanding of CT imaging characteristics of COVID-19 pneumonia.