- 专利标题: Leveraging on local and global textures of brain tissues for robust automatic brain tumor detection
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申请号: US15061465申请日: 2016-03-04
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公开(公告)号: US10055839B2公开(公告)日: 2018-08-21
- 发明人: Subhabrata Bhattacharya , Shanhui Sun , Terrence Chen , Ali Kamen
- 申请人: SIEMENS AKTIENGESELLSCHAFT
- 申请人地址: DE München
- 专利权人: SIEMENS AKTIENGESELLSCHAFT
- 当前专利权人: SIEMENS AKTIENGESELLSCHAFT
- 当前专利权人地址: DE München
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06T7/00 ; H04N19/124 ; H04N19/136 ; A61B1/00 ; A61B1/04 ; A61B5/00 ; G06K9/46 ; G06K9/52 ; G06K9/62 ; G06T7/40
摘要:
A method for performing cellular classification includes generating a plurality of local dense Scale Invariant Feature Transform (SIFT) features based on a set of input images and converting the plurality of local dense SIFT features into a multi-dimensional code using a feature coding process. A first classification component is used to generate first output confidence values based on the multi-dimensional code and a plurality of global Local Binary Pattern Histogram (LBP-H) features are generated based on the set of input images. A second classification component is used to generate second output confidence values based on the plurality of LBP-H features and the first output confidence values and the second output confidence values are merged. Each of the set of input images may then be classified as one of a plurality of cell types using the merged output confidence values.