Axial CT Imaging Dataset for AI-Powered Kidney Stone Detection: A Resource for Deep Learning Research

This dataset introduces a comprehensive CT scan image dataset focused on kidney stone detection, consisting of two groups: one from individuals diagnosed with kidney stones and the other from those without the condition. The dataset has been meticulously curated, verified, and labeled by experienced medical professionals, ensuring its high quality and reliability for both research and educational applications. Collected from medical centers in Sulaimani and Rania, Kurdistan Region, Iraq, the dataset provides unique insights into the prevalence and characteristics of kidney stones in this region. With 3,364 original CT images and 35,457 augmented images, it offers a valuable resource for developing and evaluating deep learning algorithms for kidney stone detection. The augmented images further increase their applicability for algorithm training, medical research, and educational purposes. This dataset can potentially advance diagnostic tool development, enhance medical research, and serve as an educational resource for students studying kidney stone.