A Novel Web Framework for Cervical Cancer Detection System: A Machine Learning Breakthrough

Cervical cancer, the second most prevalent cancer among women worldwide, is primarily attributed to the human papillomavirus (HPV). Despite advances in healthcare, it remains a significant cause of mortality among women across diverse regions, surpassing other hereditary cancers. Early detection is...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.41542-41556
Hauptverfasser:	Qathrady, Mimonah Al, Shaf, Ahmad, Ali, Tariq, Farooq, Umar, Rehman, Aqib, Alqhtani, Samar M., Alshehri, Mohammed S., Almakdi, Sultan, Irfan, Muhammad, Rahman, Saifur, Bade Eljak, Ladon Ahmed
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial neural networks Biophysics Biopsy Cancer Cervical cancer cervical cancer detection Decision analysis Decision trees Detection algorithms Diagnosis Expert web framework gyne cancer diagnosis Health care Human papillomavirus Internet of Things Machine learning Medical diagnosis Support vector machines Web servers Web sites
Online-Zugang:	Volltext
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