A comparative study finds ResNet-50 achieves 93.06% accuracy on five-class cervical cell classification from Pap smear images, outperforming HOG-based machine learning models.
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Comparative Analysis of Machine Learning and Deep Learning Models for Classifying Squamous Epithelial Cells of the Cervix
A comparative study finds ResNet-50 achieves 93.06% accuracy on five-class cervical cell classification from Pap smear images, outperforming HOG-based machine learning models.