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ViT-PSO-SVM: Cervical Cancer Predication Based on Integrating Vision Transformer with Particle Swarm Optimization and Support Vector Machine

Cervical cancer (CCa) is the fourth most prevalent and common cancer affecting women worldwide, with increasing incidence and mortality rates. Hence, early detection of CCa plays a crucial role in improving outcomes. Non-invasive imaging procedures with good diagnostic performance are desirable and...

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Principais autores: Abdulaziz AlMohimeed, Mohamed Shehata, Nora El-Rashidy, Sherif Mostafa, Amira Samy Talaat, Hager Saleh
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-07-01
Serier:Bioengineering
Fag:
cervical cancer
diagnostic model
ViT-PSO-SVM
Online adgang:https://www.mdpi.com/2306-5354/11/7/729
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