End-to-end framework for automated collection of large multicentre radiotherapy datasets demonstrated in a Danish Breast Cancer Group cohort

Large Digital Imaging and Communications in Medicine (DICOM) datasets are key to support research and the development of machine learning technology in radiotherapy (RT). However, the tools for multi-centre data collection, curation and standardisation are not readily available. Automated batch DICO...

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Detalles Bibliográficos
Autores principales: Refsgaard, Lasse, Skarsø, Emma Riis, Ravkilde, Thomas, Nissen, Henrik Dahl, Olsen, Mikael, Boye, Kristian, Laursen, Kasper Lind, Bekke, Susanne Nørring, Lorenzen, Ebbe Laugaard, Brink, Carsten, Thorsen, Lise Bech Jellesmark, Offersen, Birgitte Vrou, Korreman, Stine Sofia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495662/
https://www.ncbi.nlm.nih.gov/pubmed/37705727
http://dx.doi.org/10.1016/j.phro.2023.100485

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10495662/
https://www.ncbi.nlm.nih.gov/pubmed/37705727
http://dx.doi.org/10.1016/j.phro.2023.100485

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