Cervical Cancer Diagnosis Using an Integrated System of Principal Component Analysis, Genetic Algorithm, and Multilayer Perceptron

Cervical cancer is one of the most dangerous diseases that affect women worldwide. The diagnosis of cervical cancer is challenging, costly, and time-consuming. Existing literature has focused on traditional machine learning techniques and deep learning to identify and predict cervical cancer. This r...

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Detalles Bibliográficos
Autores principales: Dweekat, Odai Y., Lam, Sarah S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601935/
https://www.ncbi.nlm.nih.gov/pubmed/36292449
http://dx.doi.org/10.3390/healthcare10102002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601935/
https://www.ncbi.nlm.nih.gov/pubmed/36292449
http://dx.doi.org/10.3390/healthcare10102002

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