发明申请
US20070110292A1 System and method for computer aided detection via asymmetric cascade of sparse linear classifiers
有权
通过稀疏线性分类器的不对称级联进行计算机辅助检测的系统和方法
- 专利标题: System and method for computer aided detection via asymmetric cascade of sparse linear classifiers
- 专利标题(中): 通过稀疏线性分类器的不对称级联进行计算机辅助检测的系统和方法
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申请号: US11592869申请日: 2006-11-03
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公开(公告)号: US20070110292A1公开(公告)日: 2007-05-17
- 发明人: Jinbo Bi , Senthil Periaswamy , Kazunori Okada , Toshiro Kubota , Glenn Fung , Marcos Salganicoff , R. Rao
- 申请人: Jinbo Bi , Senthil Periaswamy , Kazunori Okada , Toshiro Kubota , Glenn Fung , Marcos Salganicoff , R. Rao
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
A method for computer aided detection of anatomical abnormalities in medical images includes providing a plurality of abnormality candidates and features of said abnormality candidates, and classifying said abnormality candidates as true positives or false positives using a hierarchical cascade of linear classifiers of the form sign(wTx+b), wherein x is a feature vector, w is a weighting vector and b is a model parameter, wherein different weights are used to penalize false negatives and false positives, and wherein more complex features are used for each successive stage of said cascade of classifiers.
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