Cargando…
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...
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: | |
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 |
Ejemplares similares
-
2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning
por: Kiss, Maximilian B., et al.
Publicado: (2023) -
Just-in-time deep learning for real-time X-ray computed tomography
por: Graas, Adriaan, et al.
Publicado: (2023) -
Explorative Imaging and Its Implementation at the FleX-ray Laboratory
por: Coban, Sophia Bethany, et al.
Publicado: (2020) -
Emulation of X-ray Light-Field Cameras
por: Viganò, Nicola, et al.
Publicado: (2020) -
Collection of X-ray micro computed tomography images of shells of planktic foraminifera with curated taxonomy
por: Siccha, Michael, et al.
Publicado: (2023)