DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

PURPOSE: The dataset contains annotations for lung nodules collected by the Lung Imaging Data Consortium and Image Database Resource Initiative (LIDC) stored as standard DICOM objects. The annotations accompany a collection of computed tomography (CT) scans for over 1000 subjects annotated by multip...

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Detalles Bibliográficos
Autores principales: Fedorov, Andrey, Hancock, Matthew, Clunie, David, Brochhausen, Mathias, Bona, Jonathan, Kirby, Justin, Freymann, John, Pieper, Steve, J. W. L. Aerts, Hugo, Kikinis, Ron, Prior, Fred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Medical Physics Dataset Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721965/
https://www.ncbi.nlm.nih.gov/pubmed/32772385
http://dx.doi.org/10.1002/mp.14445

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721965/
https://www.ncbi.nlm.nih.gov/pubmed/32772385
http://dx.doi.org/10.1002/mp.14445

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