A Neuro-Fuzzy Inference Model for Breast Cancer Recognition
نویسندگان
چکیده
منابع مشابه
Breast Cancer Risk Assessment Using adaptive neuro-fuzzy inference system (ANFIS) and Subtractive Clustering Algorithm
Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used. First,...
متن کاملBreast Cancer Risk Assessment Using adaptive neuro-fuzzy inference system (ANFIS) and Subtractive Clustering Algorithm
Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used. First,...
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0957-4174/$ see front matter 2010 Elsevier Ltd. A doi:10.1016/j.eswa.2010.02.088 * Corresponding author. Tel./fax: +98 (21)82883990 E-mail addresses: [email protected] (G mcmaster.ca (H.Q. Saremi), [email protected] (V. Character recognition of Farsi and Arabic texts as an open and demanding problem needs to encounter sophisticated specifications of the characters such as their shapes,...
متن کاملbreast cancer risk assessment using adaptive neuro-fuzzy inference system (anfis) and subtractive clustering algorithm
introduction: the adaptive neuro-fuzzy inference system (anfis) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. in this study we used this model in breast cancer detection. methodology: a set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used. first, the risk fact...
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ژورنال
عنوان ژورنال: International Journal of Computer Science and Information Technology
سال: 2012
ISSN: 0975-4660
DOI: 10.5121/ijcsit.2012.4513