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System and method for automation of morphological segmentation of bio-images

机译:生物图像形态分割自动化的系统和方法

摘要

Medical images are automatically segmented by customizing the morphological segmentation of features identified in the image based upon statistical analysis of the features within each region to be analyzed. The statistical description of the features, as reported through a feature vector, informs the system as to which input variables to select for further segmentation analysis for features residing within the region of the image analyzed. By customizing the automatic segmentation analysis to produce an enhanced image, features within the image are characterized more efficiently and precisely. False positive identification of lesions are minimized without sacrifice of true positive identifications.
机译:通过基于对每个要分析区域内特征的统计分析,自定义图像中标识的特征的形态学分割,可以自动分割医学图像。通过特征向量报告的特征的统计描述会通知系统要选择哪些输入变量,以对位于分析图像区域内的特征进行进一步的分割分析。通过自定义自动分割分析以生成增强的图像,可以更有效,更精确地表征图像中的特征。在不牺牲真实阳性识别的情况下,使病变的假阳性识别最小化。

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