Comparative analysis of cervical cancer classification of DPAGCHE-enhanced Pap smear images using convolutional neural network models
Table 5
Improvement of model performance with DPAGCHE enhancement. Percentage improvement of each classification metric when using DPAGCHE-enhanced images compared to the original dataset. The most substantial gains were observed in F1-score (+53.65%) and precision (+44.29%), indicating improved model balance and reduced false positives. A modest gain in accuracy (+7.86%) and recall (+28.17%) further supports the effectiveness of the enhancement, although specificity slightly declined (−1.94%), suggesting a trade-off between sensitivity and true negative detection.