Clinical and Image Dataset Curator – MSc Artificial Intelligence Project
OtherImageDiagnosis
Curated large-scale clinical and image datasets for AI model training using Python and TensorFlow. Performed manual and programmatic labeling of images for clinical triage and computer vision disease diagnosis tasks. Optimized dataset annotations to boost accuracy and enable edge deployment of healthcare and agricultural models. • Collated and validated clinical image data to assure high-quality ground truth. • Utilized SHAP for risk factor explainability in labeled datasets. • Applied MobileNetV3 and TFLite to annotated disease images for Cassava. • Ensured dataset consistency for offline use in resource-constrained environments.
Curated large-scale clinical and image datasets for AI model training using Python and TensorFlow. Performed manual and programmatic labeling of images for clinical triage and computer vision disease diagnosis tasks. Optimized dataset annotations to boost accuracy and enable edge deployment of healthcare and agricultural models. • Collated and validated clinical image data to assure high-quality ground truth. • Utilized SHAP for risk factor explainability in labeled datasets. • Applied MobileNetV3 and TFLite to annotated disease images for Cassava. • Ensured dataset consistency for offline use in resource-constrained environments.
2023 - Present