A cone-beam X-ray computed tomography data collection designed for machine learning

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 f...

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Detalles Bibliográficos
Autores principales: Der Sarkissian, Henri, Lucka, Felix, van Eijnatten, Maureen, Colacicco, Giulia, Coban, Sophia Bethany, Batenburg, Kees Joost
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805882/
https://www.ncbi.nlm.nih.gov/pubmed/31641152
http://dx.doi.org/10.1038/s41597-019-0235-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805882/
https://www.ncbi.nlm.nih.gov/pubmed/31641152
http://dx.doi.org/10.1038/s41597-019-0235-y

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