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DEEP LEARNING BASED ISOCENTER POSITIONING AND FULLY AUTOMATED CARDIAC MR EXAM PLANNING
专利权人:
发明人:
Xiaoguang LU,Carmel HAYES
申请号:
US15641534
公开号:
US20180035892A1
申请日:
2017.07.05
申请国别(地区):
US
年份:
2018
代理人:
摘要:
A computer-implemented method of performing deep learning based isocenter positioning includes acquiring a plurality of slabs covering an anatomical area of interest that comprises a patients heart. For each slab, one or more deep learning models are used to determine a likelihood score for the slab indicating a probability that the slab includes at least a portion of the patients heart. A center position of the patients heart may then be determined based on the likelihood scores determined for the plurality of slabs.
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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