Handbook of medical imaging
Image-Processing Techniques for Tumor Detection
Image-Processing Techniques for Tumor Detection
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Shape Analysis and Classification: Theory and Practice
Shape Analysis and Classification: Theory and Practice
Type 2 representation and reasoning for CWW
Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
Extreme physical information and objective function in fuzzy clustering
Fuzzy Sets and Systems - Clustering and modeling
Color image enhancement by fuzzy intensification
Pattern Recognition Letters
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing (The Handbooks of Fuzzy Sets)
An Ontological and Epistomological Perspective of Fuzzy Set Theory
An Ontological and Epistomological Perspective of Fuzzy Set Theory
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing: An Evolutionary Approach for Neural Networks and Fuzzy Systems (Studies in Fuzziness and Soft Computing)
Digital Image Processing: PIKS Scientific Inside
Digital Image Processing: PIKS Scientific Inside
Fuzzy rough sets hybrid scheme for breast cancer detection
Image and Vision Computing
A new unsupervised approach for fuzzy clustering
Fuzzy Sets and Systems
A high performance edge detector based on fuzzy inference rules
Information Sciences: an International Journal
Advances in Fuzzy Clustering and its Applications
Advances in Fuzzy Clustering and its Applications
A type-2 fuzzy rule-based expert system model for stock price analysis
Expert Systems with Applications: An International Journal
A multi-direction GVF snake for the segmentation of skin cancer images
Pattern Recognition
Coronal loop detection from solar images
Pattern Recognition
RSLDI: Restoration of single-sided low-quality document images
Pattern Recognition
Type-2 Fuzzy Logic: Theory and Applications
Type-2 Fuzzy Logic: Theory and Applications
The Image Processing Handbook, Sixth Edition
The Image Processing Handbook, Sixth Edition
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Noise reduction by fuzzy image filtering
IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple
IEEE Transactions on Fuzzy Systems
A possibilistic approach to clustering
IEEE Transactions on Fuzzy Systems
Automatic segmentation of non-enhancing brain tumors in magnetic resonance images
Artificial Intelligence in Medicine
Application of type-2 neuro-fuzzy modeling in stock price prediction
Applied Soft Computing
Relative entropy fuzzy c-means clustering
Information Sciences: an International Journal
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This paper presents a systematic Type-II fuzzy expert system for diagnosing the human brain tumors (Astrocytoma tumors) using T"1-weighted Magnetic Resonance Images with contrast. The proposed Type-II fuzzy image processing method has four distinct modules: Pre-processing, Segmentation, Feature Extraction, and Approximate Reasoning. We develop a fuzzy rule base by aggregating the existing filtering methods for Pre-processing step. For Segmentation step, we extend the Possibilistic C-Mean (PCM) method by using the Type-II fuzzy concepts, Mahalanobis distance, and Kwon validity index. Feature Extraction is done by Thresholding method. Finally, we develop a Type-II Approximate Reasoning method to recognize the tumor grade in brain MRI. The proposed Type-II expert system has been tested and validated to show its accuracy in the real world. The results show that the proposed system is superior in recognizing the brain tumor and its grade than Type-I fuzzy expert systems.