scholarly journals Computer-aided detection of screening breast cancer: a novel approach based on genetic programming

2012 ◽  
Vol 14 (S1) ◽  
Author(s):  
F Canavan ◽  
S Harding ◽  
L Gustard ◽  
AM Murphy ◽  
JF Miller ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Genetic Programming ◽  
Computer Aided Detection ◽  
Novel Approach ◽  
Computer Aided

scholarly journals A Computer-Aided Diagnosis System for Breast Cancer Using Independent Component Analysis and Fuzzy Classifier

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Ikhlas Abdel-Qader ◽  
Fadi Abu-Amara
Keyword(s):  
Breast Cancer ◽  
Independent Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Independent Component ◽  
Computer Aided Detection ◽  
Fuzzy Classifier ◽  
Novel Approach ◽  
Computer Aided ◽  
Screening Mammograms

Screening mammograms is a repetitive task that causes fatigue and eye strain since for every thousand cases analyzed by a radiologist, only 3–4 are cancerous and thus an abnormality may be overlooked. Computer-aided detection (CAD) algorithms were developed to assist radiologists in detecting mammographic lesions. In this paper, a computer-aided detection and diagnosis (CADD) system for breast cancer is developed. The framework is based on combining principal component analysis (PCA), independent component analysis (ICA), and a fuzzy classifier to identify and label suspicious regions. This is a novel approach since it uses a fuzzy classifier integrated into the ICA model. Implemented and tested using MIAS database. This algorithm results in the classification of a mammogram as either normal or abnormal. Furthermore, if abnormal, it differentiates it into a benign or a malignant tissue. Results show that this system has 84.03% accuracy in detecting all kinds of abnormalities and 78% diagnosis accuracy.

Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming

2014 ◽  
pp. 162-173 ◽  
Author(s):  
Conor Ryan ◽  
Krzysztof Krawiec ◽  
Una-May O’Reilly ◽  
Jeannie Fitzgerald ◽  
David Medernach
Keyword(s):  
Breast Cancer ◽  
Genetic Programming ◽  
Computer Aided ◽  
Stage 1
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