![](/images/graphics-bg.png)
Involvement of Machine Learning for Breast Cancer Image Classification: A Survey
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-29, 29 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-31
Country of Publication
Egypt
No. of Pages
29
Main Subjects
Abstract EN
Breast cancer is one of the largest causes of women’s death in the world today.
Advance engineering of natural image classification techniques and Artificial Intelligence methods has largely been used for the breast-image classification task.
The involvement of digital image classification allows the doctor and the physicians a second opinion, and it saves the doctors’ and physicians’ time.
Despite the various publications on breast image classification, very few review papers are available which provide a detailed description of breast cancer image classification techniques, feature extraction and selection procedures, classification measuring parameterizations, and image classification findings.
We have put a special emphasis on the Convolutional Neural Network (CNN) method for breast image classification.
Along with the CNN method we have also described the involvement of the conventional Neural Network (NN), Logic Based classifiers such as the Random Forest (RF) algorithm, Support Vector Machines (SVM), Bayesian methods, and a few of the semisupervised and unsupervised methods which have been used for breast image classification.
American Psychological Association (APA)
Nahid, Abdullah-Al& Kong, Yinan. 2017. Involvement of Machine Learning for Breast Cancer Image Classification: A Survey. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-29.
https://search.emarefa.net/detail/BIM-1142088
Modern Language Association (MLA)
Nahid, Abdullah-Al& Kong, Yinan. Involvement of Machine Learning for Breast Cancer Image Classification: A Survey. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-29.
https://search.emarefa.net/detail/BIM-1142088
American Medical Association (AMA)
Nahid, Abdullah-Al& Kong, Yinan. Involvement of Machine Learning for Breast Cancer Image Classification: A Survey. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-29.
https://search.emarefa.net/detail/BIM-1142088
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142088