Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.
- DOI
- 10.1007/s00066-024-02262-2
- Published
- 2025 Mar
- Container
- Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s00066-024-02262-2,
title = {Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.},
author = {Erdur AC and Rusche D and Scholz D and Kiechle J and Fischer S and Llorián-Salvador Ó and Buchner JA and Nguyen MQ and Etzel L and Weidner J and Metz MC and Wiestler B and Schnabel J and Rueckert D and Combs SE and Peeken JC},
year = {2025},
journal = {Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]},
doi = {10.1007/s00066-024-02262-2},
url = {https://doi.org/10.1007/s00066-024-02262-2}
}RIS
TY - JOUR TI - Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives. AU - Erdur AC AU - Rusche D AU - Scholz D AU - Kiechle J AU - Fischer S AU - Llorián-Salvador Ó AU - Buchner JA AU - Nguyen MQ AU - Etzel L AU - Weidner J AU - Metz MC AU - Wiestler B AU - Schnabel J AU - Rueckert D AU - Combs SE AU - Peeken JC PY - 2025 JO - Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] DO - 10.1007/s00066-024-02262-2 UR - https://doi.org/10.1007/s00066-024-02262-2 ER -
APA
AC, E., D, R., D, S., J, K., S, F., Ó, L., JA, B., MQ, N., L, E., J, W., MC, M., B, W., J, S., D, R., SE, C., & JC, P. (2025). Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.. Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]. https://doi.org/10.1007/s00066-024-02262-2
Source records
- pubmed · retrieved 2026-09-25T14:35:21.117Z