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.
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.
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.
由于超声成像机制的限制，图像质量相对较差一直是超声医学图像主要的缺点，难以满足后期的图像分析工作的要求。
In view of speckle noise in medical ultrasound image, adenosing method based on adaptive morphological filter was proposed.
由于超声成像机制的限制，图像质量相对较差一直是超声医学图像主要的缺点，难以满足后期的图像分析工作的要求。
In view of speckle noise in medical ultrasound image, adenosing method based on adaptive morphological filter was proposed.
应用推荐