Recent Publications
Explore the latest findings and technical reports published by Dr. Justice Williams Asare and the C-MAC Ghana team.
A Smartphone and Web‐Based Automated Platform for Segmenting Urinary Tract Infection Using a Deep Learning‐Based Approach
Developing an accessible mobile application backed by advanced deep learning techniques to rapidly and accurately diagnose urinary tract infections.
A hybrid three-layer convolutional neural network architecture for detecting anemia using clinical images
Proposing a novel, highly accurate CNN architecture designed for the rapid classification and non-invasive detection of anemia using standard clinical imaging.
Application of artificial intelligence for okra leaf and other plant disease detection and diagnoses: a systematic literature review
A comprehensive review of how modern AI and computer vision models are transforming early disease detection in agricultural settings.
Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images
Evaluating machine learning pipelines that analyze eye conjunctiva images to estimate hemoglobin levels and detect anemia without invasive blood tests.
Iron deficiency anemia detection using machine learning models: A comparative study of fingernails, palm and conjunctiva of the eye images
A comparative study analyzing different bodily features to determine the most effective visual indicators for machine-learning-based anemia screening.