将关联规则挖掘引入医学资料的分析之中，弥补传统统计学方法的不足，最大可能地获取数据中含有的信息是本研究的目的。
Introducing association rules into the analysis of medical data, making up statistics methods, and getting rich information possibly are the main aim of the study.
总而言之，明天将展现出接踵而至的信息，表明各种病症是可以用医学上的方法治疗的。
Altogether, tomorrow may see more and more information coming to light on the diseases, which can be treated medically.
目的介绍网上医学信息的检索方法和技巧，提高医务工作者利用因特网的能力。
Objective To improve medical staff's ability by introducing the ways and skills of searching medical information from Internet.
提出一种结合图像分块纹理特征和语义信息的医学胸片图像检索方法。
This paper presented a method of medical images retrieval about sternums based on texture features combining with semantic information.
医学图像融合的效果评价方法有很多，如信息熵、互信息、均方值、峰值信噪比和平均梯度等。
There are many kinds of image fusion methods, such as information entropy, mutual information, mean square error, peak signal to noise ratio and mean grads.
方法提出了一种基于互信息和模拟退火算法的医学图像配准方法。
METHODS a multimodality medical image registration method based on mutual information and simulated annealing was presented.
本文介绍了国际上医学图像及有关信息的统一格式及交换方法的统一标准。
This paper describes the unified format of the medical picture and relevant information in the world, and the unified criterion of exchange method.
通过给出适当的适应度函数，寻找出全局的最优解，并得到配准结果，这为医学临床诊断多模态信息融合提供了一种方法。
By giving suitable fitness function, global optimal solution was found and result of registration was given. A method was provided for clinical diagnosis.
在此基础上提出了一种混合区域信息和边界信息的方法——基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。
Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
其后，详细讨论了常用的一些医学图象配准方法，如基于标志点配准法、基于特征配准法和互信息法等。
Then we discuss some image registration methods which are frequently used, such as registration based on landmark, feature-based method and mutual information method, etc.
然而在互联网上向医学专家咨询健康的信息是个很好的方法。
However, it is always a good idea to confirm health information from the Internet with a medical professional.
基于互信息的图像配准方法具有自动化程度高、配准精度高等优点，已被广泛应用于医学图像的配准。
Image registration based on mutual information is of high automatization and high accuracy in registration. Hence, it has been widely exploited in medical image registration.
探求有效利用互联网上医学信息资源的最佳方法与途径，建立肿瘤文献信息系统数据库。
To establish the best ways of data importing from Internet and data retrieving, an oncology information system on Internet was developed in the paper.
基于互信息的图像配准方法具有自动化程度高、配准精度高等优点，近年来在医学图像配准中得到广泛应用。
Mutual information-based image registration has been widely exploited due to its high-level automation and accuracy, especially in medical image registration.
实验结果表明，该方法能够有效平滑互信息的局部极值，减少错误的医学图像配准。
The experimental results show that the method can smooth the local extremums of mutual information and reduce the possibility of wrong medical image registration.
在综合性医院，医学图像信息的大量产生，对它存储、快速传输和处理都需要找到一种更加方便和有效的方法。
In general hospitals more and more image information has been created, it is critical to have an efficient and convenient way to store, rapid transmission and processing.
基于互信息的图像配准方法，已被广泛用于医学图像的配准。
Mutual information has been widely applied in medical image registration because of the merits of non-preprocessing and high automation.
方法根据基层医学科研选题来源类型分别进行立项查新过程中的信息服务。
Methods: According to source type of primary medical topic selection, medical information centre providing information service during novelty search.
结论给出医学影像图像信息系统的需求分析、系统描述，提出构造医学影像图像信息系统普遍意义下的方法。
Result It gives requirement analysis, system description of medical radio-image information system and the universal method of constructing medical radio-image information system.
基于互信息的配准方法，包括互信息和归一化互信息方法，是目前医学图像配准中无创、自动且精度很高的一种方法，已经被广泛应用。
Image registration methods based on mutual information, including mutual information and normalized mutual information, have been accepted as the most accurate and efficient methods.
该方法根据所给定的物体和边缘特征信息将原始医学图象转换到模糊连通空间，获得模糊边界。
When given characteristic information about the desired object and its edge, the new algorithm transformed the original images into fuzzy connective space and extracted their fuzzy boundary.
医学信息学的研究设备不断更新，高新技术手段和方法已对医学信息学研究产生重要影响。
The renewal of scientific research equipment and new technique had a great effect on medical informatics.
结合医学影像信息学与计算机科学的相关知识，分析了在构建PACS时，实现基于DI-COM标准的医学影像辅助诊断系统的方法。
This paper analyzes the method of implementation of a Medical Image Aided Diagnosis System based on DICOM standard in a PACS.
分散聚合方法已被应用于许多领域，如涂料工业、生物工程、医学、信息产业、化学工业等。
Dispersion polymerization has been applied in many fields, such as coating, bioengineering, medicine, information technology, chemical industry and etc.
医学图像配准是医学图像处理研究的一个重要方向，而基于互信息量的配准方法是广泛应用的一种配准方法。
Medical image registration is a key issue of medical image processing. One popularly applied registration method is mutual-information-based image registration.
方法利用常用的医学检索工具 ，介绍一定的检索技巧 ，及时快捷地获取网上医学信息资源。
Methods The writers made the best use of the medical information resources with general medical searching means and accumulated skills.
文章通过对网络信息资源组织的理解，探讨临床医学科学数据的分类技术方法。
This article is meant to express several thoughts about clinical science data sharing classification by studying network information organising.
其中的体绘制方法直接对所有的体数据进行处理，有利于保留三维医学图像的细节信息，具有较好的绘制效果。
The volume rendering method does shading processes to all of the volume data directly, maintains the details of the medical images, and achieves better render results.
为了解决学术期刊指标体系综合评价中不同评价方法结果不一致问题，文章利用中国科学技术信息研究所的医学院校学报数据，提出了一种新的基于极值法的组合评价方法。
This paper obtains a general result in the precise asymptotics for the point process of the jump times of an extremal process with wide range weighted functions and boudary functions.
为了解决学术期刊指标体系综合评价中不同评价方法结果不一致问题，文章利用中国科学技术信息研究所的医学院校学报数据，提出了一种新的基于极值法的组合评价方法。
This paper obtains a general result in the precise asymptotics for the point process of the jump times of an extremal process with wide range weighted functions and boudary functions.
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