Bogdan Georgescu,Yefeng Zheng,Hien Nguyen,Vivek Kumar Singh,Dorin Comaniciu,David Liu
申请号：
US14709536
公开号：
US20150238148A1
申请日:
2015.05.12
申请国别(地区):
US
年份:
2015
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 deep neural network is trained for each of the marginal search spaces, resulting in a series of trained deep neural networks. Each of the trained deep neural networks can evaluate hypotheses in a current parameter space using discriminative classification or a regression function. An anatomical object is detected in a medical image by sequentially applying the series of trained deep neural networks to the medical image.
