Now showing items 1-5 of 5

    • Deep Learning for Cervical Cancer Lesion Segmentation in Mobile Colposcopy Images. 

      Nyaketcho, Claire (Makerere University, 2022-09)
      Cervical cancer (CaCx) is a serious public health issue that mostly affects middle-aged women worldwide, particularly in less developed nations. Around 342 000 women died from cervical cancer worldwide in 2020, with an ...
    • Deep Learning for Cervical Cancer Screening. 

      Kaddu, Joshua (Makerere University, 2022-05)
      Cervical cancer is the malignant tumor of the cervix. Cervical cancer remains one of the gravest threats to women world wide. As cervical cancer is a highly preventable disease, therefore, early screening represents the ...
    • Deep Learning-Aided Image Captioning In Chest X-Rays For TB Screening 

      Sebampitako, Duncan (Makerere University, 2022)
      Tuberculosis (TB) is a contagious disease that is a major source of illness and one of the top causes of mortality across the world.TB can be screened through Chest X-ray, Ultrasound, Computed Tomography and Magnetic ...
    • Deep Learning-aided Image Captioning In Chest X-rays for TB Screening 

      Tumuramye, Ronald (Makerere University, 2023-01-17)
      The fight against TB in the African region and other low and middle income countries is mainly challenged by the limited number of skilled radiologists in those countries. There are large populations yet few radiologists ...
    • Design of a Machine Learning Based Traffic Control System 

      Namulyowa, Berna (2020-12-10)
      This report investigates the problem of traffic jam at one of the junctions in Kampala Uganda which is Wandegeya junction. At Wandegeya junction, the existing traffic light control causes long delay, air pollution, energy ...