Translational Medicine
Open Access

Department of Public Health, Makerere University, Kampala, Uganda

Publications

• 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

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