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An automated pipeline combining deep learning and radiomics for detecting non-calcified plaques in the left anterior descending and right coronary arteries. The dataset, shared by Wen Chen under a CC-BY-4.0 license, includes non-contrast calcium score CT images from patients at two medical sites. Radiomics models built from the data demonstrated vessel-level diagnostic performance with AUCs ranging from 0.700 to 0.855.
The 4.0 MB file is a DOCX document, which likely contains a description of the pipeline and results rather than the raw image data itself; the actual image dataset may need to be sourced separately.