Cervical Cancer Detection: A Comprehensive Evaluation of CNN Models, Vision Transformer Approaches, and Fusion Strategies

Cervical Cancer Detection: A Comprehensive Evaluation of CNN Models, Vision Transformer Approaches, and Fusion Strategies

Cervical cancer, a malignant tumor arising from the cervix, poses a significant health risk to women worldwide. Early detection plays a pivotal role in improving patient treatment by enabling timely intervention and effective treatment. This paper explores three distinct strategies for enhancing cer...

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Bibliographic Details
Main Authors: Heba M. Emara, Walid El-Shafai, Naglaa F. Soliman, Abeer D. Algarni, Reem Alkanhel, Fathi E. Abd El-Samie
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cervical cancer
CNN
vision transformer
hybrid models
SkipMed dataset
Online Access:https://ieeexplore.ieee.org/document/10713889/
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https://ieeexplore.ieee.org/document/10713889/

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