An open-source nnU-net algorithm for automatic segmentation of MRI scans in the male pelvis for adaptive radiotherapy
<p>Data related to the article:</p> <p>Front. Oncol.</p> <p>Sec. Radiation Oncology</p> <p>Volume 13 - 2023 | doi: 10.3389/fonc.2023.1285725</p> <p> </p> <p>An open-source nnU-net algorithm for automatic segmentation of MRI scans in the male pelvis for adaptive radiotherapy</p> <p>Ebbe Laugaard Lorenzen 1,2*, Bahar Celik 1, Nis Sarup1, Lars Dysager3, Rasmus Lübeck Christiansen1, Anders Smedegaard Bertelsen1, Uffe Bernchou1,2, Søren Nielsen Agergaard1, Maximilian Lukas Konrad1, Carsten Brink1,2*, Faisal Mahmood1,2, Tine Schytte2,3, Christina Junker Nyborg3</p> <p>1 Laboratory of Radiation Physics, Department of Oncology, Odense University Hospital, J. B. Winsløws Vej 4, 5000 Odense C, Denmark </p> <p>2 Department of Clinical Research, University of Southern Denmark, J.B. Winsløws Vej 19 3., 5000 Odense C, Denmark</p> <p>3 Department of Oncology, Odense University Hospital, J. B. Winsløws Vej 4, 5000 Odense C, Denmark</p> <p>* Correspondence: </p> <p>Ebbe Laugaard Lorenzen</p> <p>ebbe.lorenzen@rsyd.dk</p> <p>Carsten Brink </p> <p>carsten.brink@rsyd.dk</p> <p> </p> <p>NOTE: Version 2 of this repository contains the nnU-Net v2 model, while version 1 contains the original, nnU-Net v1 model</p> <p> </p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0