Table 3. Confusion matrix and overall performance of the classifier used to determine the sharpness of the cell image.
Algorithm Classification | Manual Observer Analysis | Predictive value | |
In-focus | Out-of-focus | ||
In-focus | 2207 | 30 | Positive: 98.7% |
Out-of-focus | 136 | 859 | Negative: 86.3% |
Overall performance of the applied algorithm | |||
Sensitivity: 94.2% | Specificity: 95.9% | Accuracy: 94.8% |