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Segmentation of inhomogeneous skin tissues in high-frequency 3D ultrasound images, the advantage of non-parametric log-likelihood methods

机译:高频3D超声图像中不均匀皮肤组织的分割,非参数对数似然方法的优点

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摘要

We propose a multi-purpose level-set segmentation algorithm to detect the boundary of tumors and tissues in high-frequency 3D ultrasound images of the skin. Whereas most proposed algorithms assume a specific (e.g. Rayleigh) distribution of the speckle noise, we do not make such assumption and use non-parametric Parzen estimates of the distribution. We discuss the advantage of the method on synthetic and clinical images of the skin and tumors.
机译:我们提出了一种多功能水平集分段算法,以检测皮肤高频3D超声图像中肿瘤和组织的边界。然而,大多数所提出的算法假设斑点噪声的特定(例如Rayleigh)分布,因此我们不会产生这种假设并使用分布的非参数序列估计。我们探讨了皮肤和肿瘤的合成和临床图像方法的优势。

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