VTCNet: A Feature Fusion DL Model Based on CNN and ViT for the Classification of Cervical Cells
Mingzhe Li,
Ningfeng Que,
Juanhua Zhang
et al.
Abstract:Cervical cancer is a common malignancy worldwide with high incidence and mortality rates in underdeveloped countries. The Pap smear test, widely used for early detection of cervical cancer, aims to minimize missed diagnoses, which sometimes results in higher false‐positive rates. To enhance manual screening practices, computer‐aided diagnosis (CAD) systems based on machine learning (ML) and deep learning (DL) for classifying cervical Pap cells have been extensively researched. In our study, we introduced a DL‐… Show more
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