| REVIEW ARTICLE |
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| Year : 2022 | Volume
: 8
| Issue : 1 | Page : 23 |
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A review of the development of intelligent delineation of radiotherapy contouring
Ran Ren1, Guangpeng Chen2, Fan Yang2, Tianxiang Cui2, Liangzhi Zhong2, Yang Zhang2, Bangyu Luo2, Lirong Zhao2, Jindong Qian2, Jianguo Sun2
1 Department of Nursing Administration, Army Medical University, Chongqing, China
2 Department of Oncology, Xinqiao Hospital, Army Medical University, Chongqing, China
Correspondence Address:
Jianguo Sun
Department of Oncology, Xinqiao Hospital, Army Medical University, No. 83 Xinqiao Street, Chongqing 400037
China
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/digm.digm_25_22
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To date, the manual segmentation in radiotherapy contouring is featured with time- and effort-consuming and low efficiency. Therefore, it is imperative to develop novel technology to improve the precision and repeatability about the segmentation of radiotherapy contouring. The use of artificial intelligence (AI) delineation in tumor targets during radiotherapy has shown up, which contains the methods based on template atlas, image segmentation, and deep learning. Intelligent delineation of radiotherapy makes the automatic delineation of organs at risk possible, saves operators' time, and reduces the heterogeneity of contouring, which greatly increases the accuracy and quality of the contouring delineation in radiotherapy. All in all, automatic delineation of radiotherapy based on AI is flourishing. Researchers should further learn to build recognized standards and develop mature technologies to fulfill the clinical application in the near future.
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