Performance tradeoff between evolutionary computation (EC)/adaptive boosting (AB) hybrid and support vector machine breast cancer classification paradigms

Performance Tradeoff

A Comparative Study of Improved F-Score with Support Vector Machine and RBF Network for Breast Cancer Classification

International Journal of Machine Learning and Computing ◽

10.7763/ijmlc.2012.v2.227 ◽

2012 ◽

pp. 741-745 ◽

Cited By ~ 5

Author(s):

P. Jaganathan ◽

N. Rajkumar ◽

R. Kuppuchamy

Keyword(s):

Breast Cancer ◽

Support Vector Machine ◽

Comparative Study ◽

Cancer Classification ◽

Support Vector ◽

Rbf Network ◽

Comparison between stochastic support vector machine (stochastic SVM) and Fuzzy Kernel Robust C-Means (FKRCM) in breast cancer classification

10.1063/1.5132475 ◽

2019 ◽

Author(s):

Z. Rustam ◽

R. A. Putri

Keyword(s):

Breast Cancer ◽

Support Vector Machine ◽

Cancer Classification ◽

Support Vector ◽

Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study

Journal of Magnetic Resonance Imaging ◽

10.1002/jmri.25873 ◽

2017 ◽

Vol 47 (5) ◽

pp. 1205-1216 ◽

Cited By ~ 24

Author(s):

Igor Vidić ◽

Liv Egnell ◽

Neil P. Jerome ◽

Jose R. Teruel ◽

Torill E. Sjøbakk ◽

...

Keyword(s):

Breast Cancer ◽

Support Vector Machine ◽

Cancer Classification ◽

Support Vector ◽

Diffusion Weighted Mri ◽

Diffusion Weighted ◽

Preliminary Study

Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India ◽

Support Vector Machine based Breast Cancer Classification using Next Generation Sequences

10.4108/eai.16-5-2020.2303953 ◽

2021 ◽

Author(s):

Babymol Kurian ◽

V. Jyothi

Keyword(s):

Breast Cancer ◽

Support Vector Machine ◽

Cancer Classification ◽

Support Vector ◽

Next Generation ◽

Machine Interpretation of Patterns - Statistical Science and Interdisciplinary Research ◽

Granular Support Vector Machine Based Method for Prediction of Solubility of Proteins on Over Expression in Escherichia Coli and Breast Cancer Classification

10.1142/9789814299190_0015 ◽

2010 ◽

pp. 289-305

Author(s):

Pankaj Kumar ◽

B. D. Kulkarni ◽

V. K. Jayaraman

Keyword(s):

Breast Cancer ◽

Escherichia Coli ◽

Support Vector Machine ◽

Cancer Classification ◽

Support Vector ◽

Over Expression ◽

Expression In Escherichia Coli

2018 International Conference on Sustainable Information Engineering and Technology (SIET) ◽

Mammogram Breast Cancer Classification Using Gray-Level Co-Occurrence Matrix and Support Vector Machine

10.1109/siet.2018.8693146 ◽

2018 ◽

Cited By ~ 5

Author(s):

Syam Julio A. Sarosa ◽

Fitri Utaminingrum ◽

Fitra A. Bachtiar

Keyword(s):

Breast Cancer ◽

Support Vector Machine ◽

Cancer Classification ◽

Support Vector ◽

Gray Level ◽

Occurrence Matrix

Adaptive Semi Supervised Support Vector Machine Semi Supervised Learning with Features Cooperation for Breast Cancer Classification

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2016.1591 ◽

2016 ◽

Vol 6 (1) ◽

pp. 53-62 ◽

Cited By ~ 29

Author(s):

Nawel Zemmal ◽

Nabiha Azizi ◽

Nilanjan Dey ◽

Mokhtar Sellami

Keyword(s):

Breast Cancer ◽

Support Vector Machine ◽

Supervised Learning ◽

Cancer Classification ◽

Support Vector ◽

Breast Cancer Classification using Support Vector Machine and Neural Network

International Journal of Science and Research (IJSR) ◽

10.21275/v5i3.nov161719 ◽

2016 ◽

Vol 5 (3) ◽

pp. 1-6 ◽

Cited By ~ 1

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Support Vector Machine ◽

Cancer Classification ◽

Support Vector ◽

Breast cancer classification with reduced feature set using association rules and support vector machine

Network Modeling Analysis in Health Informatics and Bioinformatics ◽

10.1007/s13721-020-00237-8 ◽

2020 ◽

Vol 9 (1) ◽

Author(s):

Abderrahmane Ed-daoudy ◽

Khalil Maalmi

Keyword(s):

Breast Cancer ◽

Support Vector Machine ◽

Association Rules ◽

Cancer Classification ◽

Support Vector ◽

SMCia/01. Proceedings of the 2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications (Cat. No.01EX504) ◽

New results in breast cancer classification obtained from an evolutionary computation/adaptive boosting hybrid using mammogram and history data

10.1109/smcia.2001.936727 ◽

2002 ◽

Cited By ~ 7

Author(s):

W.H. Land ◽

T. Masters ◽

J.Y. Lo ◽

D.W. McKee ◽

F.R. Anderson

Keyword(s):

Breast Cancer ◽

Evolutionary Computation ◽

Cancer Classification ◽

Adaptive Boosting ◽

History Data ◽