Table 2.
Image Type | Mean±SD, 95% CI | Cohen’s d | AUC | 95% CI of difference AUC |
---|---|---|---|---|
Ground-truth | 2.25 | 0.954 | N/A | |
Method A | 0.023±0.172) (−0.321, 0.367) | 2.38 | 0.982 | (−0.02, 0.08) |
Method B | −0.010±0.093 (−0.196, 0.176) | 2.64 | 0.995 | (−0.02, 0.10) |
Method C | −0.013±0.094 (−0.201, 0.175) | 2.33 | 0.987 | (−0.02, 0.09) |
Method D | −0.016±0.098 (−0.212, 0.180) | 2.59 | 0.991 | (−0.02, 0.09) |
Low–count data | −0.004±0.130 (−0.264, 0.256) | 1.79 | 0.945 | N/A |
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