Table 5.
Classification results of the test set using the VGG-16 deep learning architecture.
AUC | Accuracy | Precision | Specificity | Recall | F1 Score | |
---|---|---|---|---|---|---|
Sperm concentration | 0.76 | 0.68 | 0.62 | 0.59 | 0.79 | 0.69 |
Progressive motility | 0.89 | 0.83 | 0.78 | 0.76 | 0.90 | 0.84 |
Morphology | 0.86 | 0.79 | 0.77 | 0.81 | 0.77 | 0.77 |