Evidence combination in medical data mining
YA Aslandogan, GA Mahajani - International Conference on …, 2004 - ieeexplore.ieee.org
In this work we apply Dempster-Shafer's theory of evidence combination for mining medical
data. We consider the classification task in two domains: breast tumors and skin lesions …
data. We consider the classification task in two domains: breast tumors and skin lesions …
A neural-genetic algorithm for feature selection and breast abnormality classification in digital mammography
Digital mammography is one of the most suitable methods for early detection of breast
cancer. In uses digital mammograms to find suspicious areas. However, it is very difficult to …
cancer. In uses digital mammograms to find suspicious areas. However, it is very difficult to …
A novel algorithm for associative classification of image blocks
X Xu, G Han, H Min - … and Information Technology, 2004. CIT'04 …, 2004 - ieeexplore.ieee.org
Because of its accurate and robust performance, association rule-based approach is
recently used for image classification. However, the existing algorithms for associative …
recently used for image classification. However, the existing algorithms for associative …
[PDF][PDF] 低级特征和语义特征相结合的医学图像检索方法
邵虹， 崔文成， 张继武， 赵宏 - 2004 - cjig.cn
摘要提出了一种将图像本身的低级特征和语义特征描述相结合的医学图像检索方法I
首先提取图像的灰度特征J 矩特征和纹理特征: 进一步采用遗传算法进行最优特征的选择 …
首先提取图像的灰度特征J 矩特征和纹理特征: 进一步采用遗传算法进行最优特征的选择 …
A continuous and probabilistic framework for medical image representation and categorization
AT Pinhas, HK Greenspan - Medical Imaging 2004: PACS and …, 2004 - spiedigitallibrary.org
This work focuses on a general framework for image representation and image matching
that may be appropriate for medical image archives. The proposed methodology is …
that may be appropriate for medical image archives. The proposed methodology is …
Data mining with decision trees and neural networks for calcification detection in mammograms
BA Flores, JA Gonzalez - MICAI 2004: Advances in Artificial Intelligence …, 2004 - Springer
One of the best prevention measures against breast cancer is the early detection of
calcifications through mammograms. Detecting calcifications in mammograms is a difficult …
calcifications through mammograms. Detecting calcifications in mammograms is a difficult …
Early lung cancer detection by classifying chest CT images: a survey
MN Mughal, W Ikram - 8th International Multitopic Conference …, 2004 - ieeexplore.ieee.org
This paper investigates computer aided diagnosis (CAD) techniques that allow detection of
lung cancer through analysis of chest computed tomography (CT) images. In CAD two main …
lung cancer through analysis of chest computed tomography (CT) images. In CAD two main …
Data mining for average images in a digital hand atlas
A Zhang, F Cao, E Pietka, BJ Liu… - Medical Imaging 2004 …, 2004 - spiedigitallibrary.org
Bone age assessment is a procedure performed in pediatric patients to quickly evaluate
parameters of maturation and growth from a left hand and wrist radiograph. Pietka and Cao …
parameters of maturation and growth from a left hand and wrist radiograph. Pietka and Cao …
A dynamic fuzzy classifier for detecting abnormalities in mammograms
S Mohammed, L Yang, J Fiaidhi - First Canadian Conference …, 2004 - ieeexplore.ieee.org
One of the most important steps in digital mammography is an adequate segmentation of
possible abnormalities. This obviously minimizes errors in further stages such as in …
possible abnormalities. This obviously minimizes errors in further stages such as in …
Closing the gap between the stable semantics and extensions of WFS
M Osorio, V Borja, J Arrazola - … on Artificial Intelligence, Mexico City, Mexico …, 2004 - Springer
In order to really understand all aspects of logic-based program development of different
semantics, it would be useful to have a common solid logical foundation. The stable …
semantics, it would be useful to have a common solid logical foundation. The stable …