Deep learning based clinical target volumes contouring for prostate cancer: Easy and efficient application
Using deep learning and attention mechanism, a highly consistent and time-saving contouring model was built for CTVs of pelvic lymph nodes and prostate tumors or prostate tumor beds for prostate cancer, which also might be a good approach to train junior radiation oncologists.
Authors
- Jialuo Yang
- Feng Wen (ORCID: https://orcid.org/0000-0001-8790-1503)
- Meng Dou (ORCID: https://orcid.org/0000-0003-0080-8010)
- Zhebin Chen (ORCID: https://orcid.org/0000-0003-4671-3711)
- Yu Yao (ORCID: https://orcid.org/0000-0001-5332-9975)
- Yali Shen
- Xin Wang (ORCID: https://orcid.org/0000-0003-3630-1676)
Institutions
- Chinese Academy of Sciences (CN)
- Sichuan University (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1002/acm2.14482
- Citations
- 2
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.22
Funders
- National Natural Science Foundation of China