Method and system for anatomical object detection using marginal space deep neural networks
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United States of America Patent
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Jun 6, 2017
Grant Date -
Aug 27, 2015
app pub date -
May 12, 2015
filing date -
Oct 17, 2013
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Abstract
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.
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