研究模糊聚类分析在医学图像数据挖掘中的应用。
To study the application of fuzzy cluster analysis for medical image data mining.
目的研究决策树算法在医学图像数据挖掘中的应用。
Aim To study the application of decision tree algorithm for medical image data mining.
本项研究是受国家自然科学基金资助的，课题名为“基于医学图像数据挖掘技术的研究”。
This research work is a part of the Research of Data Mining on Medical Image supported by the National Natural Science Foundation of China.
论文以医学图像数据为研究对象，从理论、算法和应用三个方面进行医学图像数据挖掘研究。
This paper researches medical image data objects and those data mining from theory, algorithm and application three facts.
在遥感图像数据挖掘模型与实现方面，提出了遥感图像数据挖掘模型结构。基于该模型进行创建、训练和预测。
As for the RS image data mining model (RSDMM) and its implements, the RSDMM's architecture and its creation, training, and prediction is discussed.
受生物免疫系统启发的免疫原理已经在控制、规划、图像处理、数据挖掘、故障检测和诊断等领域得到了广泛应用。
The immune theory stimulated by biological immune system has been widely used in control, planning, image processing, data mining, fault detection and diagnosis and other areas.
重点是关于图像内容的数据挖掘，并不涉及到其它的知识领域。
The emphasis is on data mining of image content without the use of auxiliary domain knowledge.
聚类是数据挖掘领域中的一个重要分支，正逐步运用在商业、地质勘探、图像处理等领域。
Clustering in the field of data mining is an important branch is being used in commercial, geological exploration, image processing, and other fields.
本发明可用于机器学习和模式识别范畴内，除了图像识别以外，还可用于语音识别及数据挖掘等领域。
The invention can be used in machine learning and the pattern recognition, as well as in the fields of voice recognition and data mining in addition to the image recognition.
聚类分析涉及到统计学、数据挖掘、机器学习和图像处理等多个领域，人们对它研究热情日益高涨。
Researchers are getting more and more attentions to cluster analysis, since it involved in many fields such as statistics, data mining, machine learning and image processing, etc.
数据聚类在数据挖掘、模式识别、图像处理和数据压缩等领域有着广泛的应用。
Clustering is a promising application technique for many fields including data mining, pattern recognition, image processing, compression and other business applications.
介绍了多媒体数据挖掘的系统结构，及以图像数据为代表的关联规则挖掘方法。
This article introduced the framework of the system, and particularly introduced the method of the correlative rule mining by taking image data as representative.
介绍了遥感图像数据的关联规则挖掘方法。
This paper describes the methods of data mining by means of association rules.
基于数据挖掘的医学图像分类方法研究是多媒体数据挖掘的一个重要组成部分。
Data mining based medical image classification methods is an important component of multimedia data mining.
目前，面向医学图像的数据挖掘研究刚刚起步，现有的数据挖掘方法直接应用于医学图像还存在许多问题。
Currently, it is at the germ of mining medical image data and there are a lot of problems by applying existing mining methods directly to medical images.
该文采用数据挖掘中的回归分析模型，挖掘HIFU焦域处超声剪影图像中可用于温度估计的信息。
We used the regression model of data mining to discover temperature related information hidden in the HIFU focal area subtraction ultrasound images.
借助数据挖掘方法在图像中的应用，提出了一种利用图像降阶结合基元模式匹配对纹理特征进行挖掘的新思路。
According to the method of data mining using in the image, this paper proposed a new approach based on image degradation and unit pattern matching to mine texture feature.
目的：挖掘出海量医学图像中数据的关联关系。
Objective: the purpose of this study was to mine the correlative relationship between massive amounts of medical image data.
目前数据挖掘的对象主要还是本地数据库中的文本及数值类数据，对于图像信息的挖掘所进行的研究还比较有限。
The main objects for data mining remain today to be texts and numerical data in the local database, while studies on image-based data mining appear to be rather limited.
如何从这些图像数据中挖掘出有用的知识，是目前迫切需要解决的问题。
How to use these image data is urgent problems to resolve. This paper gives an overview of the research and application of image mining.
医学成像新技术、多模态医学成像的图像与信息融合、大数据病例的挖掘，是实现临床精准医疗的重要工程基础。
Precision Medicine relies on advent medical imaging technique, fusion of multi-modality medical imaging and information, and large-scale data mining on medical cases.
我们介绍了一种新的概念化框架，语义图像挖掘，使得研究者能够在网络数据分析中将图像挖掘和本体论推论结合起来。
We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.
我们介绍了一种新的概念化框架，语义图像挖掘，使得研究者能够在网络数据分析中将图像挖掘和本体论推论结合起来。
We introduce a new conceptual framework, semantic graph mining, to enable researchers to integrate graph mining with ontology reasoning in network data analysis.
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