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End-to-end framework for automated collection of large mult..:
Refsgaard, Lasse
;
Skarsø, Emma Riis
;
Ravkilde, Thomas
...
Physics and Imaging in Radiation Oncology. 27 (2023) - p. 100485 , 2023
Link:
https://doi.org/10.1016/j.phro.2023.100485
RT Journal T1
End-to-end framework for automated collection of large multicentre radiotherapy datasets demonstrated in a Danish Breast Cancer Group cohort
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.phro.2023.100485&Exemplar=1&LAN=DE A1 Refsgaard, Lasse A1 Skarsø, Emma Riis A1 Ravkilde, Thomas A1 Nissen, Henrik Dahl A1 Olsen, Mikael A1 Boye, Kristian A1 Laursen, Kasper Lind A1 Bekke, Susanne Nørring A1 Lorenzen, Ebbe Laugaard A1 Brink, Carsten A1 Thorsen, Lise Bech Jellesmark A1 Offersen, Birgitte Vrou A1 Korreman, Stine Sofia PB Elsevier BV YR 2023 SN 2405-6316 JF Physics and Imaging in Radiation Oncology VO 27 SP 100485 LK http://dx.doi.org/https://doi.org/10.1016/j.phro.2023.100485 DO https://doi.org/10.1016/j.phro.2023.100485 SF ELIB - SuUB Bremen
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