Particle swarm optimization method for image clustering
An image clustering method that is based on the particle swarm optimizer (PSO) is
developed in this paper. The algorithm finds the centroids of a user specified number of …
developed in this paper. The algorithm finds the centroids of a user specified number of …
Neural vs. statistical classifier in conjunction with genetic algorithm based feature selection
Digital mammography is one of the most suitable methods for early detection of breast
cancer. It uses digital mammograms to find suspicious areas containing benign and …
cancer. It uses digital mammograms to find suspicious areas containing benign and …
Application of fuzzy cluster analysis for medical image data mining
S Wang, M Zhou, G Geng - IEEE International Conference …, 2005 - ieeexplore.ieee.org
This paper studies the application of fuzzy cluster analysis for medical image data mining.
Decision tree algorithms are applied to the data mining of the mammography classification …
Decision tree algorithms are applied to the data mining of the mammography classification …
Biomedical image classification with random subwindows and decision trees
In this paper, we address a problem of biomedical image classification that involves the
automatic classification of x-ray images in 57 predefined classes with large intra-class …
automatic classification of x-ray images in 57 predefined classes with large intra-class …
Joining associative classifier for medical images
J Yun, L Zhanhuai, W Yong… - … Conference on Hybrid …, 2005 - ieeexplore.ieee.org
One of the best prevention measures against breast cancer is the early tumor detection in
digital mammography. Detecting tumor in mammography is a difficult task because of their …
digital mammography. Detecting tumor in mammography is a difficult task because of their …
医学图像的关联规则挖掘方法研究
王曙燕， 周明全， 耿国华 - 计算机应用, 2005 - joca.cn
医学图像的关联规则挖掘方法研究 首页 期刊介绍 期刊简介 历史沿革 收录情况 获奖情况 引用
指标 编委会 期刊在线 文章推荐 过刊浏览 专辑专刊 下载排行 阅读排行 投稿指南 组稿方向 投稿 …
指标 编委会 期刊在线 文章推荐 过刊浏览 专辑专刊 下载排行 阅读排行 投稿指南 组稿方向 投稿 …
Mining interesting association rules in medical images
H Pan, J Li, Z Wei - Advanced Data Mining and Applications: First …, 2005 - Springer
Image mining is more than just an extension of data mining to image domain but an
interdisciplinary endeavor. Very few people have systematically investigated this field …
interdisciplinary endeavor. Very few people have systematically investigated this field …
A massive lesion detection algorithm in mammography
A new algorithm for massive lesion detection in mammography is presented. The algorithm
consists in three main steps: 1) reduction of the dimension of the image to be processed …
consists in three main steps: 1) reduction of the dimension of the image to be processed …
Knowledge discovery in clinical databases with neural network evidence combination
T Srinivasan, A Chandrasekhar… - Proceedings of 2005 …, 2005 - ieeexplore.ieee.org
Diagnosis of diseases and disorders afflicting mankind has always been a candidate for
automation. Numerous attempts made at classification of symptoms and characteristic …
automation. Numerous attempts made at classification of symptoms and characteristic …
Cost-sensitive ensemble of support vector machines for effective detection of microcalcification in breast cancer diagnosis
This paper presents a new approach for the cost-sensitive classification problems based on
the Boosting ensemble of support vector machines (SVMs). Different from conventional …
the Boosting ensemble of support vector machines (SVMs). Different from conventional …