MACHINE LEARNING BASED TRIPLE REGION SEGMENTATION FRAMEWORK USING LEVEL SET ON PACS
    1.
    发明申请
    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段框架使用PACS上的等级设置

    公开(公告)号:US20080080768A1

    公开(公告)日:2008-04-03

    申请号:US11854888

    申请日:2007-09-13

    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.

    摘要翻译: 本发明的某些实施例提供了用于三重区域图像分割的方法和系统。 某些实施例提供了一种用于图像存档和通信系统上的三重区域图像分割的方法。 该方法包括使用主成分分析和支持向量机形成包括三个区域的图像的初始轮廓。 该方法还包括使用基于初始轮廓的单个级别集函数将图像分割成三个区域。 某些实施例提供了促进图像的三重区域分割的图像处理系统。 该系统包括包括支持向量机的模式分类器,模式分类器使用主成分分析和支持向量机形成包括三个区域的图像的初始轮廓。 该系统还包括使用基于初始轮廓的单个级别集合函数将图像分割成三个区域的三重区域分割器。

    Machine learning based triple region segmentation framework using level set on PACS
    2.
    发明授权
    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

    公开(公告)号:US08073253B2

    公开(公告)日:2011-12-06

    申请号:US11854888

    申请日:2007-09-13

    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.

    摘要翻译: 本发明的某些实施例提供了用于三重区域图像分割的方法和系统。 某些实施例提供了一种用于图像存档和通信系统上的三重区域图像分割的方法。 该方法包括使用主成分分析和支持向量机形成包括三个区域的图像的初始轮廓。 该方法还包括使用基于初始轮廓的单个级别集函数将图像分割成三个区域。 某些实施例提供了促进图像的三重区域分割的图像处理系统。 该系统包括包括支持向量机的模式分类器,模式分类器使用主成分分析和支持向量机形成包括三个区域的图像的初始轮廓。 该系统还包括使用基于初始轮廓的单个级别集合函数将图像分割成三个区域的三重区域分割器。