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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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