A novel ultrasound image segmentation algorithm, which is based on the spectral cluster ensemble, is proposed to segment ultrasound images with low SNR.
为了对低信噪比的超声图像进行有效分割，提出一种谱聚类集成的超声图像分割算法。
In this paper we propose a new ultrasound image segmentation scheme for segmentation of low SNR ultrasound images, which consisted of anisotropic diffusion function and snake model.
为了对低信噪比的超声图像进行有效分割，提出了一种新的超声图像分割方案，该方案由各向异性扩散方程和蛇模型组成。
Ultrasound medical image segmentation is the essential step of ultrasound image processing, and it plays a crucial role in both qualitative and quantitative ultrasound image analyses.
超声医学图像分割是对超声图像进行分析的基本步骤，也是利用超声图像进行定性、定量分析的一个至关重要的环节。
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