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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.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0330103.g005