Table 3.
Value | Method A | Method B | Method C | Method D |
---|---|---|---|---|
(95% Cl) | ||||
Accuracy | 78.8% | 96.3% | 98.1% | 96.3% |
(71.6%, 84.8%) | (92.0%, 98.6%) | (94.6%, 99.6%) | (92.0%, 98.6%) | |
Sensitivity | 60.5% | 100% | 98.7% | 98.7% |
(48.7%, 71.6%) | (95.3%, 100%) | (92.9%, 100%) | (92.9%, 100%) | |
Specificity | 95.2% | 92.9% | 97.6% | 94.1% |
(88.3%, 98.7%) | (85.1%, 97.3%) | (91.7%, 99.7%) | (86.7%, 98.0%) |
CI: confidence interval
Network training methods: A-direct application of pre-trained network; B-transfer learning starting with pre-trained network; C-training new network from scratch; D-training new network with combined datasets