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

Internet

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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