A comparative analysis of deep learning architectures with data augmentation and multichannel input for locoregional breast cancer radiotherapy
Comparable results to a 3D U-Net and clinical plans can be reached with a 2D HD U-net for a dataset size commonly seen in clinical practice. The Attention U-Net did profit from adding extra channels and data augmentation but did not reach the same level of accuracy as the other models.
Authors
- Nienke Bakx (ORCID: https://orcid.org/0009-0000-8348-6752)
- Coen Hurkmans (ORCID: https://orcid.org/0000-0003-2268-0492)
- Rosalie Klarenberg
Institutions
- Radboud University Nijmegen (NL)
- Catharina Ziekenhuis (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1002/acm2.70047
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.88