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Table 4 Performance of COVID-19 classification achieved by using 2D features and using 2D and 3D features

From: Pulmonary lesion subtypes recognition of COVID-19 from radiomics data with three-dimensional texture characterization in computed tomography images

Feature Label Precision (%) Recall (%) Accuracy (%) F-measure (%)
2D 1 88.38 93.56 89.37 90.89
2 84.18 81.9 93.12 83.02
3 85.94 79.14 98.47 82.4
4 79.84 69.29 91.2 74.19
2D and 3D 1 92.21 95.52 93.06 93.84
2 93.17 91.58 96.84 92.37
3 95.14 95.8 99.58 95.47
4 88.43 80.75 94.3 84.42