An automated breast cancer diagnosis using feature selection and parameter optimization in ANN
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering
Reference25 articles.
1. Support vector machines combined with feature selection for breast cancer diagnosis;Akay;Expert Syst Appl,2009
2. Prediction model building and feature selection with support vector machines in breast cancer diagnosis;Huang;Expert Syst Appl,2008
3. A GA-based feature selection and parameters optimization for support vector machines;Huang;Expert Syst Appl,2006
4. A novel hybrid perceptron neural network algorithm for classifying breast MRI tumors;ElNawasany;Commun Comput Inf Sci,2014
5. Higher order spectra analysis of breast thermograms for the automated identification of breast cancer;Acharya;Expert Syst,2012
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