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Ultrasound Image Object Boundary Localization by Intensity Histogram Classification Using Relationships Among Boundaries
Ultrasound Image Object Boundary Localization by Intensity Histogram Classification Using Relationships Among Boundaries
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机译:使用边界之间的关系通过强度直方图分类的超声图像对象边界定位
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摘要
Fatty tissue boundary depths and muscle tissue boundary depths are identified in an ultrasound image by first creating an average intensity histogram of the ultrasound image. The histogram has a plurality of peaks, but has the characteristic that one of its peaks corresponds to a fat boundary depth, and a second of its peaks corresponds to a muscle boundary depth. A first classifier based solely on the local-characteristics of individual peaks is used to identify a first fat tissue depth. A second classifier trained to find a muscle depth given a fat depth, receives the output from the first classifier and identifies an output muscle tissue depth relative to the first fat tissue depth. A third classifier trained to find a fat boundary depth given a muscle boundary depth, receives the output muscle tissue depth and outputs a second fat boundary depth.
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