提出一种新的基于灰度分割的调焦评价函数。
A focusing evaluation function based on gray scale segmentation is proposed.
磁共振图像的准确分割对于辅助医生确定病灶的位置和形状、制订治疗方案和评价治疗效果具有重要的意义。
Correct segmentation of magnetic resonance image (MRI) is very important for doctors to ascertain the shape and position of the focus, prepare cure scheme and evaluate cure effect.
通过统计特定区域的边界点和分析图像分割的效果，提出了一种评价CCD相关误差的方法。
An evaluation method of CCD is proposed by calculating edge pixels and analyzing image segmentation quality of particular regions.
使用重叠率和边界位置评价方法，对分割结果与放射科医生手工勾画的边界作了比较。
The segmentation result and radiology doctor manually outline the boundary has made the comparison, used overlapping rate and the boundary position appraisal method.
直接法研究分割算法本身，而间接法根据分割图象的质量来评价算法的性能。
The direct methods study segmentation algorithms themselves while indirect methods evaluate the performance of algorithms according to the quality of segmented images.
对医学图像分割算法的客观评价是推进算法在临床上得到应用的关键。
Objective evaluation of medical image segmentation algorithms is one of the important steps toward establishing validity and clinical applicability of an algorithm.
本文提出了一种基于算法评价知识的图象分割算法优化思想，并以该思想为基础设计实现了一个分割算法优化专家系统。
In this paper, a novel idea for optimization of image segmentation algorithms based on algorithm evaluation is proposed. According to this idea, a segmentation expert system is designed and realized.
目的评价后程加速超分割放射治疗肺鳞癌的放射反应、并发症、近期疗效和远期疗效。
Objective To evaluate the efficacy and acute toxicity of late course accelerated fractionation radiotherapy for advanced squamous cell carcinoma of the lung.
目的评价后程加速超分割放射治疗食管癌的长期疗效及放射反应和并发症。
Purpose To evaluate the efficacy of the accelerated fractionation boost at the last two weeks of the radiotherapy course for esophageal carcinoma .
利用区域内部均匀性和区域间对比度这两个分割算法评价指标来对分割过后的图像进行定量的分析。
Uniformity of the use of intra-regional and inter-regional contrast of these two indicators to the image of the partition after the quantitative analysis.
应用小波变换对腹部MRI进行图像压缩与平滑化处理，应用边缘检测技术进行边缘数据与肝脏特征值的提取，并结合医师确定的肝脏区域进行图像分割效果的评价。
Wavelet transforms are used to compress image and smooth edge of liver region from abdomen MRI. The results of image segmentation are evaluated based on the liver region determined by doctor.
结论统计学评价方法有助于客观地评价分割效果。
The statistic method is helpful for evaluating the segmentation objectively.
方法：设计新的评价方案，并采用统计学方法客观分析分割的结果，根据分析结果确定合适的参数。
Methods a new evaluation scheme is proposed. The experimental results, which were analyzed objectively by the statistic method, were used to decide the optimal parameters.
目的：针对CT图像上肺结节的自动检测，开发并评价对全肺螺旋CT扫描中的肺实质进行自动分割的一种综合方法。
Objective: to develop and evaluate an integrated method that automatically segments lung parenchyma in whole lung helical ct scans for the automated detection of pulmonary nodules.
在综述了图像分割和绘制中各种方法和技术的基础上，对各类方法的应用场合和应用前景进行了分析和评价。
Based on the overview of the methodologies and technology about the segmentation and rendering, some application backgrounds and prospects of these methodologies are compared and evaluated.
意义和功能是评价译文质量的两个不可分割的部分。
Meaning and function should be considered as two indispensable factors in assessing the quality of the translation.
目的：初步评价超分割外照射加立体定向适形放射剂量治疗局部复发鼻咽癌的临床疗效及毒副反应。
OBJECTIVE:To evaluate the clinical value of hyperfractionated external irradiation followed by 3D conformal radiation therapy boost to recurrent NPC after primary radiotherapy.
同时，本文也涉及分割效果的评价方法及在计算机视觉作用。
At same times, the article refers to evaluation of image segmentation result and its importance in computer vision.
在此基础上，着重分析了地下水的赋水程度、埋藏条件和水质特征，并按水系流域分区，采用河流水文图分割方法，并对地下水资源进行了评价。
In addition, the groundwater resources are evaluated by means of a river hydrologic chart dividing method according to the water system and its area division.
指出了目前点云模型分割技术方法中存在的主要问题；分类介绍和评价了点云分割在相关应用中的研究工作；
The main problems in point cloud segmentation methods were pointed out, and the description and evaluation of point cloud segmentation in related fields were conducted.
结果与结论：统计学评价方法有助于颅脑MRI分割方法的参数设计。
Results and Conclusions the statistic method is helpful for deciding parameters of the segmentation.
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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