A Fuzzy Logic Approach to Attribute Formalization: Analysis of Lobulation for Breast Cancer Diagnosis

2010 ◽  
pp. 297-308
Author(s):  
Evangelos Triantaphyllou
Keyword(s):  
Breast Cancer ◽  
Fuzzy Logic ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Fuzzy Logic for Breast Cancer Diagnosis Using Medical Thermogram Images

2017 ◽  
pp. 354-388 ◽  
Author(s):  
Surekha Kamath
Keyword(s):  
Breast Cancer ◽  
Fuzzy Logic ◽  
Early Detection ◽  
Early Diagnosis ◽  
Cause Of Death ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Detection Technique ◽  
Breast Diseases ◽  
Benign Neoplasms

In this chapter, how medical thermography can be utilized as early detection technique for breast cancer with fuzzy logic is explained. Breast cancer is the leading cause of death among women. This fact justifies researches to reach early diagnosis, improving patients' life expectancies. Moreover, there are other pathologies, such as cysts and benign neoplasms, that deserve investigation. In the last ten years, the infrared thermography has shown to be a promising technique to early diagnosis of breast pathologies. Works on this subject presented results that justify the thermography as a complementary exam to detect breast diseases. Various algorithms that can be utilized for Breast Cancer diagnosis utilizing medical thermography are listed and also the advantages of medical thermography over other imaging modalities is given.

scholarly journals Development of a Risk-Factor System for Predicting Occurence of Breast Cancer Using Fuzzy Logic

2020 ◽  
Vol 26 (1) ◽  
pp. 23-38
Author(s):  
A.O. Fabiyi ◽  
G.O. Ogunleye ◽  
N.C. Onyeka ◽  
B.M.G. Amosa
Keyword(s):  
Breast Cancer ◽  
Fuzzy Logic ◽  
Risk Factor ◽  
Graphical User Interface ◽  
Disease Risk ◽  
Cancer Disease ◽  
Disease Risk Factor ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Factor System

The high mortality rate associated with cancer and the inability to detect the disease early has led to a catastrophic reduction in the rate of survivability of the disease in women. We have attempted to improve on the rate of survival by using Fuzzy logic to develop a risk factor system for detection of breast cancer. The system has been implemented using the Mamdani fuzzy logic approach in MATLAB. A graphical user interface (GUI) has been developed using Microsoft Visual Studio 2012. The GUI was powered by a Fuzzy Logic Library and Visual C# was used as its programming language. Keywords: Breast Cancer, Disease, Risk factor, Fuzzy Logic.

scholarly journals Fuzzy logic in computer-aided breast cancer diagnosis: analysis of lobulation

1997 ◽  
Vol 11 (1) ◽  
pp. 75-85 ◽  
Author(s):  
Boris Kovalerchuk ◽  
Evangelos Triantaphyllou ◽  
James F Ruiz ◽  
Jane Clayton
Keyword(s):  
Breast Cancer ◽  
Fuzzy Logic ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Computer Aided

Fuzzy Logic for Breast Cancer Diagnosis Using Medical Thermogram Images

2015 ◽  
pp. 168-199
Author(s):  
Surekha Kamath
Keyword(s):  
Breast Cancer ◽  
Fuzzy Logic ◽  
Early Detection ◽  
Early Diagnosis ◽  
Cause Of Death ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Detection Technique ◽  
Breast Diseases ◽  
Benign Neoplasms

In this chapter, how medical thermography can be utilized as early detection technique for breast cancer with fuzzy logic is explained. Breast cancer is the leading cause of death among women. This fact justifies researches to reach early diagnosis, improving patients' life expectancies. Moreover, there are other pathologies, such as cysts and benign neoplasms, that deserve investigation. In the last ten years, the infrared thermography has shown to be a promising technique to early diagnosis of breast pathologies. Works on this subject presented results that justify the thermography as a complementary exam to detect breast diseases. Various algorithms that can be utilized for Breast Cancer diagnosis utilizing medical thermography are listed and also the advantages of medical thermography over other imaging modalities is given.

scholarly journals Breast Cancer Diagnosis Based on Genetic-fuzzy Logic and ANFIS Using WBCD

2020 ◽  
Vol 10 (2) ◽  
pp. 15-27
Author(s):  
Amany Mostafa Lotayef ◽  
Khaled H. Ibrahim ◽  
Rania Ahmed Abul Seoud
Keyword(s):  
Breast Cancer ◽  
Fuzzy Logic ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis

Ductoscope Lights Up Breast Cancer Diagnosis

2007 ◽  
Vol 40 (14) ◽  
pp. 32
Author(s):  
MICHELE G. SULLIVAN
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis

Physical Activity and Survival Subsequent to Metastatic Breast Cancer Diagnosis

2010 ◽  
Author(s):  
Susan Sharp ◽  
Ashleigh Golden ◽  
Cheryl Koopman ◽  
Eric Neri ◽  
David Spiegel
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Metastatic Breast Cancer ◽  
Cancer Diagnosis ◽  
Metastatic Breast ◽  
Breast Cancer Diagnosis
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