A Cone-Beam X-Ray CT Data Collection designed for Machine Learning

12 May 2019Henri Der SarkissianFelix LuckaMaureen van EijnattenGiulia ColaciccoSophia Bethany CobanKees Joost Batenburg

Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high cone-angle artefact reduction. Forty-two walnuts were scanned with a laboratory X-ray set-up to provide not only data from a single object but from a class of objects with natural variability... (read more)

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