发明名称 |
Multi-Level Contextual Learning of Data |
摘要 |
Described herein is a framework for automatically classifying a structure in digital image data are described herein. In one implementation, a first set of features is extracted from digital image data, and used to learn a discriminative model. The discriminative model may be associated with at least one conditional probability of a class label given an image data observation Based on the conditional probability, at least one likelihood measure of the structure co-occurring with another structure in the same sub-volume of the digital image data is determined. A second set of features may then be extracted from the likelihood measure.
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申请公布号 |
US2011075920(A1) |
申请公布日期 |
2011.03.31 |
申请号 |
US20100962901 |
申请日期 |
2010.12.08 |
申请人 |
SIEMENS MEDICAL SOLUTIONS USA, INC. |
发明人 |
WU DIJIA;LU LE;BI JINBO;SHINAGAWA YOSHIHISA;SALGANICOFF MARCOS |
分类号 |
G06K9/62 |
主分类号 |
G06K9/62 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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