Ö. F. Alçin

Explainable automated classification of cervical cancer cells using SE-LGANet with squeeze and excitation blocks and local and global attention mechanisms

A Convolutional Neural Network integrated with Squeeze-and-Excitation blocks and dual attention mechanisms was developed to classify five distinct cell types, providing an explainable and systematically validated approach for cervical cell evaluation.