Detection of Coronary Artery Disease from CT Scan Imaging Using Machine Learning: Processed Dataset

This dataset is prepared for the research titled "Detection of Coronary Artery Disease from CT Scan Imaging Using Machine Learning". The dataset is derived from publicly available CT heart segmentation data and has been preprocessed to facilitate machine learning applications. The preprocessing steps include image resizing, normalization, and organization into training and testing subsets. The dataset contains CT scan images and corresponding segmentation masks, which are useful for developing and evaluating machine learning models for cardiovascular disease detection. This work aims to support research in medical imaging, deep learning, and automated diagnosis of coronary artery disease.