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A fuzzy-ACO method for detect breast cancer
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FCM for malignant detection in mammogram
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E. Vidhya Jyothi and R.Gayathri,"FCM for Malignant Detection in Mammogram", International Journal of Engineering Research and Applications,Vol.4,Issue 1,pp.375-381,January 2014
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A novel hybrid system for diagnosing breast cancer using fuzzy rough set and LS-SVM
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R. Jaya Suji, S.P. Rajagopalan,"A Novel Hybrid System for Diagnosing Breast Cancer Using Fuzzy Rough Set and LS-SVM", Research Journal of Applied Sciences, Engineering and Technology 10(1): 49-55, 2015 ISSN: 2040-7459; e-ISSN: 2040-7467 © Maxwell Scientific Organization, 2015
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Jaya Suji, R.1
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Cancer diagnosis using fuzzy min-max neural network with rule extraction
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Patil, P.1
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A fuzzy expert system for heart disease diagnosis
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Fuzzy c-means, ANFIS and genetic algorithm for segmenting astrocytoma-A type of brain tumor
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Minakshi Sharma and Dr.Saourabh Mukherjee,"Fuzzy C-Means, ANFIS and Genetic Algorithm for segmenting Astrocytoma-A type of brain tumor",International journal of Artificial Intelligence(IJ-AI), vol.3, pp. 329-339,2013
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An approach to medical image classification using Neuro fuzzy logic and ANFIS classifier
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Anant Barhdwaj,Kapil kumar siddhu,"An approach to medical image classification using Neuro fuzzy logic and Anfis classifier", International Journal of Computer trends and Technology", Vol.4, Issue.3,pp.236-240,2013
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Belgium, Bio pattern project, EU network of excellence
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E.O. Madu, V. Stalbovskaya, B. Hamadicharef, E.C. Ifeachor, S. Van Huffel and D.Timmerman, "Preoperative ovarian cancer diagnosis using neuro-fuzzy approach", Belgium, Bio pattern project, EU network of excellence
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Preoperative Ovarian Cancer Diagnosis Using Neuro-fuzzy Approach
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Detect breast cancer using fuzzy c means techniques in Wisconsin prognostic breast cancer (WPBC) data sets
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Fuzzy analysis of breast cancer disease using fuzzy cmeans and pattern recognition
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Comparison of mamdani and sugeno fuzzy interference systems for the breast cancer risk
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Alshalaa A. Shleeg and Issmail M. Ellabib,"Comparison of Mamdani and Sugeno Fuzzy Interference Systems for the Breast Cancer Risk",World Academy of Science, Engineering and Technology, International Journal of Computer, Control, Quantum and Information Engineering Vol.7, No:10, 2013
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A novel approach for the diagnosis of diabetes and liver cancer using ANFIS and improved KNN
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e-ISSN: 2040-7467, Maxwell Scientific Organization, 2014
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C. Kalaiselvi and G.M. Nasira,"A Novel Approach for the Diagnosis of Diabetes and Liver Cancer using ANFIS and Improved KNN", Research Journal of Applied Sciences, Engineering and Technology 8(2): 243-250, 2014 ISSN: 2040-7459; e-ISSN: 2040-7467, Maxwell Scientific Organization, 2014
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Possibilistic fuzzy c means algorithm for mass classificaion in digital mammogram
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J.S.Leena Jasmine, A. Safana,"Possibilistic Fuzzy C Means Algorithm For Mass classificaion In Digital Mammogram", Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 4, Issue 12( Part 3), December 2014, pp.84-89
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