AI/ML Plaque Detection Project – Data Preparation & Classification Labeling
Developed a machine learning-based system for plaque detection and classification in images. This involved organizing image data, labeling for disease presence, and training an AI to accurately recognize classified features. Ensured model performance through continuous labeling, testing, and refinement. • Focused on medical image data relevant to healthcare applications • Labeled and classified image datasets to train the model • Evaluated and validated results for accuracy and reliability • Applied core ML concepts to real-world healthcare labeling tasks.