发明授权
US08073253B2 Machine learning based triple region segmentation framework using level set on PACS
有权
基于机器学习的三重区域分割框架使用PACS上的级别集
- 专利标题: Machine learning based triple region segmentation framework using level set on PACS
- 专利标题(中): 基于机器学习的三重区域分割框架使用PACS上的级别集
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申请号: US11854888申请日: 2007-09-13
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公开(公告)号: US08073253B2公开(公告)日: 2011-12-06
- 发明人: Shou Li , Sukhdeep Gill , David William Roeder , Prakash Mahesh
- 申请人: Shou Li , Sukhdeep Gill , David William Roeder , Prakash Mahesh
- 申请人地址: US NY Schenectady
- 专利权人: General Electric Company
- 当前专利权人: General Electric Company
- 当前专利权人地址: US NY Schenectady
- 代理机构: Hanley, Flight & Zimmerman, LLC
- 主分类号: G06K9/34
- IPC分类号: G06K9/34
摘要:
Certain embodiments of the present invention provide methods and systems for triple region image segmentation. Certain embodiments provide a method for triple region image segmentation on a picture archiving and communication system. The method includes forming an initial contour for an image including three regions using principal component analysis and a support vector machine. The method also includes segmenting the image into three regions using a single level set function based on the initial contour. Certain embodiments provide an image processing system facilitating triple region segmentation of an image. The system includes a pattern classifier including a support vector machine, the pattern classifier forming an initial contour for an image including three regions using principal component analysis and the support vector machine. The system also includes a triple region segmenter segmenting the image into three regions using a single level set function based on the initial contour.
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