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Radiation therapy planning using deep convolutional network
专利权人:
Inc.;Elekta
发明人:
HIBBARD, Lyndon Stanley
申请号:
AU2018307739
公开号:
AU2018307739A1
申请日:
2018.07.23
申请国别(地区):
AU
年份:
2020
代理人:
摘要:
A deep convolutional neural network can be trained to provide a patient radiation treatment plan. Training can include collecting patient data based on at least one image of patient anatomy from patients, determining a treatment plan including a set of control points from the collected patient data, and using the determined treatment plans and the corresponding collected patient data to train a deep convolutional neural network for regression to determine a treatment plan including a set of control points from collected patient data. The trained model can be used to provide a radiation treatment plan, such as in real-time.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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