In the Information Technology era information plays vital role in every sphere of the human
life. It is very important to gather data from different data sources, store and maintain the …

The main focus of image mining in the proposed method is concerned with the classification
of brain tumor in the CT scan brain images. The major steps involved in the system are: pre …

Association rule extraction is a widely used exploratory technique which has been exploited
in different contexts (eg, biological data, medical images). However, association rule …

为了提高乳腺癌早期诊断的准确率, 将小波理论与神经网络理论相结合提出改进的小波神经网络
算法. 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 …

This paper proposes a new classification method based on association rule mining. This
association rule-based classifier is experimented on a real dataset; a database of medical …

提出一种基于双树复数小波变换的微钙化分类方法. 通过提取基于小波和灰度直方图的纹理特征
, 结合遗传算法进行特征优化, 分别用神经网络, 支持向量机和KNN 分类器进行微钙化的良恶性 …

提出了一种用于乳腺X 线图像分类的粗糙神经智能方法, 该方法是一种混合智能计算技术.
首先使用模糊图像处理算法来提高整个原始图像的对比度以提取感兴趣区域以及增强区域边缘; …

See application file for complete search history. A medical image acquisition error detection
technique is presented which exploits the special characteristics of medi (56) References …

One of the important problems in medical imaging is two-class classification, for example
determination of benign from malignant cases in breast cancer treatment. In this paper we …

The high incidence of brain disease, especially brain tumor, has increased significantly in
recent years. It is becoming more and more concernful to discover knowledge through …