| CNN_layer3 | CNN_layer9 | CNN_layer15 | ||||||
---|---|---|---|---|---|---|---|---|---|
Training cohort(297) | 0 (154) | 1 (84) | 2 (59) | 0 (154) | 1 (84) | 2 (59) | 0 (154) | 1 (84) | 2 (59) |
Predicted number | 148 | 34 | 8 | 146 | 50 | 35 | 137 | 56 | 34 |
AUC | 0.90 | 0.79 | 0.91 | 0.91 | 0.82 | 0.91 | 0.91 | 0.82 | 0.91 |
Sensitivity | 0.961 | 0.4047 | 0.5253 | 0.948 | 0.5952 | 0.5953 | 0.8896 | 0.6667 | 0.5762 |
Specificity | 0.6293 | 0.9014 | 0.9579 | 0.7552 | 0.9061 | 0.9537 | 0.8041 | 0.8450 | 0.9015 |
True positive | 0.9610 | 0.4047 | 0.5254 | 0.9480 | 0.5952 | 0.5953 | 0.8896 | 0.6667 | 0.5762 |
False negative | 0.0390 | 0.6953 | 0.4746 | 0.0520 | 0.4048 | 0.4047 | 0.1104 | 0.3333 | 0.4238 |
Validation cohort(128) | 0 (67) | 1 (35) | 2 (26) | 0 (67) | 1 (35) | 2 (26) | 0 (67) | 1 (35) | 2 (26) |
Predicted number | 66 | 24 | 11 | 63 | 25 | 13 | 61 | 28 | 12 |
AUC | 0.89 | 0.82 | 0.86 | 0.90 | 0.83 | 0.86 | 0.90 | 0.83 | 0.85 |
Sensitivity | 0.985 | 0.6857 | 0.423 | 0.9402 | 0.7142 | 0.50 | 0.9104 | 0.8 | 0.4615 |
Specificity | 0.6885 | 0.9139 | 1.0 | 0.7704 | 0.8817 | 0.9803 | 0.8360 | 0.8279 | 0.99 |
True positive | 0.9850 | 0.6857 | 0.4230 | 0.9402 | 0.7142 | 0.5000 | 0.9104 | 0.800 | 0.4615 |
False negative | 0.0150 | 0.3143 | 0.5770 | 0.0598 | 0.2858 | 0.5000 | 0.0896 | 0.2000 | 0.5385 |