Automatic prediction model for online diaphragm motion tracking based on optical surface monitoring by machine learning Article Swipe
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Zhenhui Dai
,
Qiang He
,
Lin Zhu
,
Bailin Zhang
,
Huaizhi Jin
,
Yang Geng
,
Chunya Cai
,
Tan Xiang
,
Wanwei Jian
,
Yao Chen
,
Hua Zhang
,
Jian Wu
,
Xuetao Wang
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21037/qims-22-242
· OA: W4292682634
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.21037/qims-22-242
· OA: W4292682634
This study shows that it is feasible to use optical body surface information to automatically predict the diaphragm motion trajectory. At the same time, it is necessary to establish a new correlation model for the current fraction before each treatment.
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