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Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer

by Bh. Nagarajasri, M. Padmavathamma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 8
Year of Publication: 2013
Authors: Bh. Nagarajasri, M. Padmavathamma
10.5120/11102-5203

Bh. Nagarajasri, M. Padmavathamma . Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer. International Journal of Computer Applications. 66, 8 ( March 2013), 6-10. DOI=10.5120/11102-5203

@article{ 10.5120/11102-5203,
author = { Bh. Nagarajasri, M. Padmavathamma },
title = { Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 8 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number8/11102-5203/ },
doi = { 10.5120/11102-5203 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:21:47.558591+05:30
%A Bh. Nagarajasri
%A M. Padmavathamma
%T Threshold Neuro Fuzzy Expert System for Diagnosis of Breast Cancer
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 8
%P 6-10
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An Expert system is an interactive computer-based decision tool that uses both the facts and heuristics to solve difficult decision making problems. Fuzzy logic is a new way of expressing probability. Neural Networks are eminently suited for approximating and designing of fuzzy Controllers and other types of Fuzzy Expert System. Neuro-fuzzy systems are connectionist models that allow learning as artificial neural network, but their structure can be interpreted as a set of fuzzy rules. Fuzzy logic and neural networks form the basis of the majority aided diagnostic intelligent systems. It would be interesting to combine the two approaches to exploit both advantages. In this paper we propose an ARM Cortex-M3 Based Interactive Neuro Fuzzy Expert System for diagnosis of breast cancers proposed on an Ex-DBC System for benign and malignant digital mammographic findings. In order to assist physicians, Radiologists and others in clinical diagnosis, a wide set of breast cancer detection rules was designed using Digital Mammographic dataset are discussed in this paper.

References
  1. " A Fuzzy Inference System Combined with Wavelet Transform for Breast Mass Classification" by Pelin Gorgel,Ahmed Sertba and Osman N Ucan 2012 ,IEEE
  2. "A New Lateral Guidance Device for Stereotactic Breast Biopsy Using an Add-on Unit to an Upright Mammography System" K. Ma, Member, IEEE, A. Fenster, Fellow, IEEE, A. Kornecki, Y. Mundt, J. Bax, 2008, IEEE.
  3. "A Novel Neuro-Fuzzy Classification System design by a Species-based hybrid Algorithm" by Ching –Hung Lee,Hsin-weichiu, and Chung-Ta Li ,2010,IEEE
  4. "An Evolutionary Neuro-Fuzzy Approach to Breast Cancer Diagnosis" by R. Ei Hamdi,M. Nijah,M Chtourou, 2010 IEEE
  5. "Based on Fuzzy Linear Discriminant Analysis for Breast Cancer Mammography Analysis" by Yu-Shun Cho Chiun-Li Chin Kun-Ching Wang,2011, IEEE.
  6. "Breast Cancer Classification Based on Advanced Multi Dimensional Fuzzy Neural Network" Somayeh Naghibi & Mohammad Teshnehlab & Mahdi Aliyari Shoorehdeli July 2011 Springer
  7. "Cancer Diagnosis using Modified Fuzzy Network" Essam Al-Daoud, 73-78, Universal Journal of Computer Science and Engineering Technology 1 (2), Nov. 2010. © 2010 UniCSE, ISSN: 2
  8. "Diagnosing Breast Cancer with the Aid of Fuzzy logic and Data Mining of a Fuzzy Logic Based on Data Mining of a Genetic Algorithm in Infrared Images" by Hossein Ghayoumi Zadeh,Omid Pakdelazar, Javad Haddadnia 219-215
  9. "Early Detection of Masses in Digitized Mammograms Using Texture Features and Neuro Fuzzy Model"by Noha Youssary,FatamaEZ,Abou Chadi, Alaa M. El-Sayad 2003 IEEE
  10. "Enhanced Accuracy of Breast Cancer Detection in Digital Mammograms using Wavelet Analysis" by Sharanya Padmanabhan and Raji Sundararajan Purdue University West Lafayette, fN 47907, USApadmans@purdue. edu; rsundara@purdue. edu, 2012, IEEE.
  11. "Experiments using an Evolutionary Programmed Neural Network with Adaptive Boosting for Computer Aided Diagnosis of Breast Cancer" by Walker H. Land,Jr. ,Elizabeth A. Verheggen,2003 IEEE
  12. "Gold-based nano-particles for breast cancer diagnosis and treatment" by Jmes Xing2, Jie Zeng3, Jing Yang1, Tao Kong3, Tao Xu1, Wilson Roa4, Xiaoping Wang,3 and Jie Chen1, 2007, IEEE
  13. "GA Based Neuro Fuzzzy Techniques for Breast CancerIdentification" by ArpitaDas and Mahua Bhattacharya 2008 IEEE
  14. "Information Gain and Adaptive Neuro Fuzzy Inference System for Breasrt Cancer Diagnosis"by M. Asharaf, Kim Le, Xu Huang, 2011 IEEE
  15. "Knowledge Based Approach for Diagnosis of Breast Cancer" Advanced Computing Conference 2009,IEEE Shukla, Dept of Inf. Commun. & Technol. ABV In Indian Inst. of Inf. Technol. & Management. Gwalior, Gwalior, Tiwari. R. Kaur P. , IACC 2009
  16. "Usage of Case-Based Reasoning, Neural Network and Adaptive Neuro-Fuzzy Inference System Classification Techniques in Breast Cancer Dataset Classification Diagnosis" by Mei-Ling Huang & Yung-Hsiang Hung Wen-Ming Lee & R. K. Li & Tzu-Hao Wang,J Med Syst(2012) 407-414,May 2010 Springer , LLC 2010
Index Terms

Computer Science
Information Sciences

Keywords

ARMCortex-M3 Neural Networks Fuzzy Logic Ex-DBCSystem Benign Malignant Microcontroller Multiplexer

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