Table 5 Performance comparison with incomplete multi-view methods for diagnosis
From: GACDN: generative adversarial feature completion and diagnosis network for COVID-19
| Â | ACC (%) | SEN (%) | SPE (%) | AUC (%) |
|---|---|---|---|---|
PVC | 73.16 ± 5.71 | 87.89 ± 3.80 | 51.443 ± 1.53 | 69.67 ± 3.12 |
UEAF | 88.61 ± 2.00 | 88.71 ± 2.42 | 88.55 ± 4.24 | 88.63 ± 2.24 |
IMC-GRMF | 85.85 ± 2.77 | 88.59 ± 3.39 | 81.96 ± 2.91 | 85.27 ± 2.899 |
GAIN | 88.36 ± 2.44 | 87.87 ± 2.18 | 83.838 ± 3.69 | 86.55 ± 2.68 |
AGC-IMC | 88.69 ± 1.67 | 89.62 ± 2.56 | 87.34 ± 1.35 | 88.48 ± 1.79 |
GACDN | 91.31 ± 1.12 | 91.62 ± 1.92 | 91.01 ± 2.31 | 91.32 ± 1.13 |