Variable precision rough set model
Journal of Computer and System Sciences
Communications of the ACM
Rough set algorithms in classification problem
Rough set methods and applications
Statistical techniques for rough set data analysis
Rough set methods and applications
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough-Neuro-Computing: Techniques for Computing with Words
Rough-Neuro-Computing: Techniques for Computing with Words
Rough Sets: Mathematical Foundations
Rough Sets: Mathematical Foundations
Rough set methods in feature selection and recognition
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Adaptive Noise Equalization and Image Analysis in Mammography
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
A new rough sets model based on database systems
Fundamenta Informaticae - Special issue on the 9th international conference on rough sets, fuzzy sets, data mining and granular computing (RSFDGrC 2003)
Fuzzy rough sets hybrid scheme for breast cancer detection
Image and Vision Computing
Rough representation of a region of interest in medical images
International Journal of Approximate Reasoning
Fuzzy rough sets and multiple-premise gradual decision rules
International Journal of Approximate Reasoning
A rough set based model to rank the importance of association rules
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
Neuroeconomics: Yet Another Field Where Rough Sets Can Be Useful?
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Subject Integration and Applications of Neural Networks
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Rough sets and near sets in medical imaging: a review
IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
Intelligence techniques for prostate ultrasound image analysis
International Journal of Hybrid Intelligent Systems
Neural Network Classifier with Entropy Based Feature Selection on Breast Cancer Diagnosis
Journal of Medical Systems
Facilitating efficient Mars terrain image classification with fuzzy-rough feature selection
International Journal of Hybrid Intelligent Systems - Rough and Fuzzy Methods for Data Mining
Review article: Computational intelligence techniques in bioinformatics
Computational Biology and Chemistry
Entropy maximization based segmentation, transmission and Wavelet Fusion of MRI images
International Journal of Hybrid Intelligent Systems
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The objective of this paper is to introduce a rough neural intelligent approach for rule generation and image classification. Hybridization of intelligent computing techniques has been applied to see their ability and accuracy to classify breast cancer images into two outcomes: malignant cancer or benign cancer. Algorithms based on fuzzy image processing are first applied to enhance the contrast of the whole original image; to extract the region of interest and to enhance the edges surrounding that region. Then, we extract features characterizing the underlying texture of the regions of interest by using the gray-level co-occurrence matrix. Then, the rough set approach to attribute reduction and rule generation is presented. Finally, rough neural network is designed for discrimination of different regions of interest to test whether they represent malignant cancer or benign cancer. Rough neural network is built from rough neurons, each of which can be viewed as a pair of sub-neurons, corresponding to the lower and upper bounds. To evaluate performance of the presented rough neural approach, we run tests over different mammogram images. The experimental results show that the overall classification accuracy offered by rough neural approach is high compared with other intelligent techniques.