这也是EMD 理论在超声图像分割中的首次尝试。
This is the first EMD application on ultrasonic image segmentation.
将这些方法应用到医学超声图像分割上还有很大的潜力可以挖掘。
Still there is more latent potential to tap for these methods on ultrasonic image segmentation.
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。
A novel ultrasound image segmentation algorithm, which is based on the spectral cluster ensemble, is proposed to segment ultrasound images with low SNR.
超声图像分割是临床医学的一个重要手段，所以研究超声图像的分割是一个十分有意义的课题。
The ultrasonic image segmentation is an important method for clinical medicine, so the ultrasonic image segmentation is a very important topic to study.
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。
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.
图像分割在医学超声图像的定量、定性分析中均扮演着重要的角色，它直接影响到后续的分析、处理工作。
Picture partition plays an important role in both qualitative and quantitative analysis of medical ultrasonic images and it directly influences on the subsequent analysis and treatment.
本文研究用自产生和自组织神经网络方法进行超声心脏图像的自动分割。
The automatic segmentation of ultrasonic heart image using self-creating and organizing neural network has been studied.
有效地实现超声图像的分割依然是临床疾病诊断亟待解决的一个难题。
It is still an urgent and tough problem to implement medical ultrasonic image segmentation effectively in clinical disease diagnosis so far.
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。
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.
有效地实现超声图像的分割依然是临床疾病诊断亟待解决的一个难题。
It has been an urgent and tough problem to implement medical ultrasonic image segmentation effectively in clinical disease diagnosis.
本文对超声图像进行直方图规定化预处理，然后采用区域生长法对超声图像进行分割，取得了满意的效果。
This paper carried on histograms specification to pretreat ultrasonic images and use of region growing method to segment ultrasonic images, thus achieved satisfactory results.
目的提出基于椭圆形状约束的改进图切割算法，用于分割颈部淋巴结超声图像。
Objective To evaluate the diagnostic value of high-frequency ultrasound in cervical lymph node masses.
目的提出一种基于边缘流的梯度矢量流（gradientvectorflow，GVF）形变模型的图像分割方法，并用于淋巴结超声图像的分割。
Objective To put forward an improved gradient vector flow (GVF) snake model based on the edge flow for segmentation of medical ultrasonic images of the lymph node.
从图像分割、图像配准及组织定征和生物测量三个医学超声图像分析的主要方面对国内外近年来的主要研究情况进行综述和评价，并在此基础上探讨其发展前景。
This paper reviews and evaluates the study in the areas of image segmentation, image registration, tissue characterization and biology measurement, and their latest development in recent years.
从图像分割、图像配准及组织定征和生物测量三个医学超声图像分析的主要方面对国内外近年来的主要研究情况进行综述和评价，并在此基础上探讨其发展前景。
This paper reviews and evaluates the study in the areas of image segmentation, image registration, tissue characterization and biology measurement, and their latest development in recent years.
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