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Method and System for Anatomical Object Detection Using Marginal Space Deep Neural Networks
专利权人:
Siemens Aktiengesellschaft
发明人:
Bogdan Georgescu,Yefeng Zheng,Hien Hguyen,Vivek Kumar Singh,Dorin Comaniciu,David Liu
申请号:
US15055161
公开号:
US20160174902A1
申请日:
2016.02.26
申请国别(地区):
US
年份:
2016
代理人:
摘要:
A method and system for anatomical object detection using marginal space deep neural networks is disclosed. The pose parameter space for an anatomical object is divided into a series of marginal search spaces with increasing dimensionality. A respective sparse deep neural network is trained for each of the marginal search spaces, resulting in a series of trained sparse deep neural networks. Each of the trained sparse deep neural networks is trained by injecting sparsity into a deep neural network by removing filter weights of the deep neural network.
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中国工程科技知识中心
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http://www.ckcest.cn/home/

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