Geometric and dosimetric evaluation of deep learning-based organs at risk auto-segmentation for rectal cancer
To evaluate the clinical applicability of deep learning based auto-segmentation of organs at risk (OARs) based on geometric and dosimetric indices. In this study, a total of 35 patients with rectal cancer who received radiotherapy in the Fudan University Shanghai Cancer Center were enrolled, and an...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press
2022-04-01
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| Series: | Fushe yanjiu yu fushe gongyi xuebao |
| Subjects: | |
| Online Access: | http://www.fs.sinap.ac.cn/thesisDetails#10.11889/j.1000-3436.2021-0208&lang=zh |