Comparison of fuzzy and neural network models to diagnose breast cancer

Communications in Computer and Information Science

Volumn 140 CCIS, Issue , 2011, Pages 241-248

  Hameed, W Abdul ^a   Bagavandas, M ^b  

^a C ABDUL HAKEEM COLLEGE   (India)

^b SRM INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

Author keywords

Breast cancer; fuzzy c means algorithm; fuzzy logic; learning vector quantization; neural network

Indexed keywords

AUTOMATIC DIAGNOSIS; BEST MODEL; BREAST CANCER; BREAST TUMOR; DIAGNOSTIC PERFORMANCE; DIAGNOSTIC TOOLS; FUZZY C-MEANS ALGORITHMS; LEARNING VECTOR QUANTIZATION; MEDICAL EXPERTS; MEDICAL SCIENCE; NEURAL NETWORK MODEL; REAL-WORLD; SUPPORTIVE TOOLS; WISCONSIN;

COPYING; DIAGNOSIS; DISEASES; FUZZY CLUSTERING; FUZZY LOGIC; FUZZY SYSTEMS; LEARNING ALGORITHMS; MEDICAL PROBLEMS; VECTOR QUANTIZATION;

NEURAL NETWORKS;

EID: 79951592151     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-19263-0_29     Document Type: Conference Paper

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