A novel integrated diagnosis method for breast cancer detection
Author:
Affiliation:
1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference39 articles.
1. Islam M.M. , Iqbal H. , Haque M.R. and Hasan M.K. , Prediction of breast cancer using support vector machine and knearest neighbors, in 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Dec 2017. pp. 226–229.
2. Probabilistic neural network for breast cancer classification;Azar;Neural Computing and Applications,2013
3. Systematic review: Using magnetic resonance imaging to screen women at high risk for breast cancer;Warner;Annals of Internal Medicine,2008
4. Haq A.U. , Li J.P. , Memon M.H. , Nazir S. and Sun R. , A hybrid intelligent system framework for the prediction of heart disease using machine learning algorithms, Mobile Information Systems 2018, 2018.
5. Breast cancer diagnosis using ga feature selection and rotation forest;Aličković;Neural Computing and Applications,2017
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