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    RaiD - A system for automated abnormality detection in chest radiographs 

    Mugisha, Stephen; Mayanja, Benjamin Vincent; Katwere, Leo; Kengo, Wada (2022-01)
    Medical imaging techniques such as X-rays, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans are widely used to diagnose several medical conditions ranging from broken bones to detecting cancer tumors in ...
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    Explainable artificial intelligence and deep transfer learning for skin disease diagnosis 

    Tumwebaze, Pius; Mayanja, James; Mwesigwa, Joshua; Asanda, Hall Enoch (Makerere University, 2023-06)
    This Report aims at describing a tool that can potentially be used to support institutions, research, and patients in the implementation of focused remedies, based on quantifiable and Prescaler elements, for interpretable ...
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    Attentive multi-channel convolutional neural network for suicide ideation detection 

    Mugisha, Stephen (Makerere University, 2021)
    Suicide is one of the leading causes of death worldwide and it is in most cases a result of significant depression experienced by people. Depression itself can stem from various sources such as personal financial instability ...
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    Explainable machine vision techniques for cattle disease detection with deep transfer learning 

    Ssekitto, Isaac; Oyoka, Daniel; Ssenkungu, Martin Reinol (Makerere University, 2025-06)
    Cattle farming is a cornerstone of global agriculture, playing a pivotal role in food security, economic stability, and the livelihoods of millions of people worldwide. In many regions, cattle provide essential products ...

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    AuthorMugisha, Stephen (2)Asanda, Hall Enoch (1)Katwere, Leo (1)Kengo, Wada (1)Mayanja, Benjamin Vincent (1)Mayanja, James (1)Mwesigwa, Joshua (1)Oyoka, Daniel (1)Ssekitto, Isaac (1)Ssenkungu, Martin Reinol (1)... View MoreSubject
    Deep Learning (4)
    Machine Learning (4)
    Artificial Intelligence (2)Cattle Disease Detection (1)Chest X-ray Abnormalities (1)Computer Vision (1)Explainabale Artificial Intelligence (1)Explainability (1)LSTMs (1)Radiography (1)... View MoreDate Issued2025 (1)2023 (1)2022 (1)2021 (1)

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