Computer Aided Cervical Cancer Diagnosis Using Gazelle Optimization Algorithm With Deep Learning Model

Computer Aided Cervical Cancer Diagnosis Using Gazelle Optimization Algorithm With Deep Learning Model

Cervical cancer (CC), the most common cancer among women, is most commonly diagnosed through Pap smears, a crucial screening process that includes collecting cervical cells for examination. Artificial intelligence (AI)-powered computer-aided diagnoses (CAD) system becomes a promising tool for improv...

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Bibliographic Details
Main Authors: Mohamed K. Nour, Imene Issaoui, Alaa Edris, Ahmed Mahmud, Mohammed Assiri, Sara Saadeldeen Ibrahim
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Cervical cancer
gazelle optimization algorithm
computer-aided diagnosis
deep learning
machine learning
Online Access:https://ieeexplore.ieee.org/document/10384881/

Internet

https://ieeexplore.ieee.org/document/10384881/

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