ISSN: 2161-1025
+44 1223 790975
Department of Public Health, Makerere University, Kampala, Uganda
Research Article
Cervical Cancer Screening: Artificial Intelligence Algorithm For Automatic Diagnostic Support
Author(s): Alex Mirugwe* and Clare Ashaba
Introduction: Cervical cancer is the fourth most prevalent cancer among women worldwide and is a significant
contributor to cancer- related deaths, with an estimated 300,000 women losing their lives to the disease
annually. Most of these fatalities occur in Low and Middle Income Countries (LMICs), such as Uganda, where
access to screening and treatment options is limited. Early detection of cervical cancer is crucial to improve the
chances of survival for patients. Currently, cervical cancer screening is typically performed through pap smears,
which involve manual examination of cervical samples for abnormalities by medical experts. This process is
costly, time-consuming and prone to errors, leading to inaccurate diagnoses. Therefore, it is essential to find
more effective and efficient alternative methods for cervical cancer screening to improve .. View More»
DOI:
10.35248/2161-1025.23.13.309