论文将支持向量机的机器学习方法引入到医学图像的分类问题。
In this thesis, SVM as a new machine learning method is brought into medical image classification.
利用决策树算法对乳腺癌图像数据进行分类，实现了一个基于决策树算法的医学图像分类器，获得了分类的实验结果。
Decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm, the experiment results are given.
医学图像的自动分类对于医院的信息自动化有重要的意义。
Medical image classification plays a central role in automation of information system of hospitals.
本文提出了一种结合贝叶斯分类的水平集方法用于医学图像分割。
In this paper, a level set segmentation algorithm based on Bayesian classification for medical image segmentation was proposed.
提出了一个基于集成学习方法的医学图像分类器。
The paper proposes a medical image classification based on ensemble leaning.
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.
在经过预处理、特征提取后，对医学图像的识别和分类主要应用模式识别的各种理论和方法。
After the pretreatment and features extraction, it is preferred to use methods of pattern recognition for classification and recognition.
将经过预处理的医学图像提取特征值，然后利用基于改进的小波神经网络算法的分类器对医学图像进行分类。
It extracted eigenvalues from pretreated medical images, and then classified medical images by using classifier based on improved wavelet neural network algorithm.
方法利用决策树算法对乳腺癌图像数据进行分类，提出了一个基于决策树算法的医学图像分类器。
Methods decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.
方法利用决策树算法对乳腺癌图像数据进行分类，提出了一个基于决策树算法的医学图像分类器。
Methods decision tree algorithms are applied to the data mining of the mammography classification, proposes a medical images classifier based on decision tree algorithm.
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