Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours
DL-based dose prediction using the AIVOT prototype software in HNC patients yielded promising results. While additional contours may enhance prediction accuracy, their impact on dose mimicking is relatively small.
Authors
- Keiichi Jingu (ORCID: https://orcid.org/0000-0002-7032-1577)
- Hikaru Nemoto (ORCID: https://orcid.org/0000-0001-6540-2906)
- Masahide Saito (ORCID: https://orcid.org/0000-0002-8636-4045)
- Hiroshi Onishi (ORCID: https://orcid.org/0000-0002-3512-1166)
- Noriyuki Kadoya (ORCID: https://orcid.org/0000-0001-5018-3800)
- Yuto Kimura
- Ryota Tozuka (ORCID: https://orcid.org/0000-0002-9639-8847)
Institutions
- Tohoku University (JP)
- Gunma Chuo Hospital (JP)
- University of Yamanashi (JP)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1002/acm2.14519
- Citations
- 3
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.82