Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Pruning and summarizing the discovered associations
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Using Prior Shapes in Geometric Active Contours in a Variational Framework
International Journal of Computer Vision
Image Mining: Trends and Developments
Journal of Intelligent Information Systems
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovering Association Rules Based on Image Content
ADL '99 Proceedings of the IEEE Forum on Research and Technology Advances in Digital Libraries
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Data Structures and Parallel Algorithms for Association Rules Discovery
ENC '04 Proceedings of the Fifth Mexican International Conference in Computer Science
Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics
Foundations of Computational Mathematics
Effective shape-based retrieval and classification of mammograms
Proceedings of the 2006 ACM symposium on Applied computing
A New Method for Image Classification by Using Multilevel Association Rules
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
Clustering Ensemble Technique Applied in the Discovery and Diagnosis of Brain Lesions
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
Mining Medical Databases Using Proposed Incremental Association Rules Algorithm (PIA)
ICDS '08 Proceedings of the Second International Conference on Digital Society
Medical Datamining with a New Algorithm for Feature Selection and Naive Bayesian Classifier
ICIT '07 Proceedings of the 10th International Conference on Information Technology
Texture Based Classification and Segmentation of Tissues Using DT-CWT Feature Extraction Methods
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
An expert system for detection of breast cancer based on association rules and neural network
Expert Systems with Applications: An International Journal
Data & Knowledge Engineering
Pruned Associative Classification Technique for the Medical Image Diagnosis System
ICMV '09 Proceedings of the 2009 Second International Conference on Machine Vision
Retrieval by content of medical images using texture for tissue identification
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
On pruning and tuning rules for associative classifiers
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
An Association Rule-Based Method to Support Medical Image Diagnosis With Efficiency
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
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The shape prior segmentation procedure and pruned association rule with ImageApriori algorithm has been used to develop an improved brain image classification system are presented in this paper. The CT scan brain images have been classified into three categories namely normal, benign and malignant, considering the low-level features extracted from the images and high level knowledge from specialists to enhance the accuracy in decision process. The experimental results on pre-diagnosed brain images showed 97% sensitivity, 91% specificity and 98.5% accuracy. The proposed algorithm is expected to assist the physicians for efficient classification with multiple key features per image.