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A computed tomography vertebral segmentation dataset with anatomical variations and multi-vendor scanner data

With the advent of deep learning algorithms, fully automated radiological image analysis is within reach. In spine imaging, several atlas- and shape-based as well as deep learning segmentation algorithms have been proposed, allowing for subsequent automated analysis of morphology and pathology. The...

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Detalles Bibliográficos
Autores principales:	Liebl, Hans, Schinz, David, Sekuboyina, Anjany, Malagutti, Luca, Löffler, Maximilian T., Bayat, Amirhossein, El Husseini, Malek, Tetteh, Giles, Grau, Katharina, Niederreiter, Eva, Baum, Thomas, Wiestler, Benedikt, Menze, Bjoern, Braren, Rickmer, Zimmer, Claus, Kirschke, Jan S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Data Descriptor
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553749/ https://www.ncbi.nlm.nih.gov/pubmed/34711848 http://dx.doi.org/10.1038/s41597-021-01060-0

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