Image Classification with Genetic Programming: Building a Stage 1 Computer Aided Detector for Breast Cancer

2015 ◽  
pp. 245-287 ◽  
Author(s):  
Conor Ryan ◽  
Jeannie Fitzgerald ◽  
Krzysztof Krawiec ◽  
David Medernach
Keyword(s):  
Breast Cancer ◽  
Genetic Programming ◽  
Image Classification ◽  
Computer Aided ◽  
Stage 1

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

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

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

A Computer-Aided System for Automatic Mitosis Detection from Breast Cancer Histological Slide Images based on Stiffness Matrix and Feature Fusion

2015 ◽  
Vol 10 (4) ◽  
pp. 476-493 ◽  
Author(s):  
Ashkan Tashk ◽  
Mohammad Sadegh Helfroush ◽  
Habibollah Danyali ◽  
Mojgan Akbarzadeh
Keyword(s):  
Breast Cancer ◽  
Stiffness Matrix ◽  
Feature Fusion ◽  
Mitosis Detection ◽  
Computer Aided ◽  
Histological Slide

Genetic Programming for Image Classification

2021 ◽  
Author(s):  
Ying Bi ◽  
Bing Xue ◽  
Mengjie Zhang
Keyword(s):  
Genetic Programming ◽  
Image Classification
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