CT-ORG, a new dataset for multiple organ segmentation in computed tomography

Despite the relative ease of locating organs in the human body, automated organ segmentation has been hindered by the scarcity of labeled training data. Due to the tedium of labeling organ boundaries, most datasets are limited to either a small number of cases or a single organ. Furthermore, many ar...

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Detalles Bibliográficos
Autores principales: Rister, Blaine, Yi, Darvin, Shivakumar, Kaushik, Nobashi, Tomomi, Rubin, Daniel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658204/
https://www.ncbi.nlm.nih.gov/pubmed/33177518
http://dx.doi.org/10.1038/s41597-020-00715-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658204/
https://www.ncbi.nlm.nih.gov/pubmed/33177518
http://dx.doi.org/10.1038/s41597-020-00715-8

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