Comparative analysis of cervical cancer classification of DPAGCHE-enhanced Pap smear images using convolutional neural network models
Fig 5
Random selection of original image dataset.
Randomly selected images from the original Herlev dataset, representing three classes: Normal-015, LSIL-006, HSIL-024, and HSIL- 085. These samples exhibit low contrast, noise presence, and poor nucleus-cytoplasm differentiation, which may hinder accurate feature extraction by deep learning models. This visual limitation highlights the need for image enhancement prior to classification.