An efficient Computer Aided Decision Support System for breast cancer diagnosis using Echo State Network classifier
作者： Summrina Kanwal Wajid , Amir Hussain , Bin Luo
DOI: 10.1109/CICARE.2014.7007829
关键词:
摘要: The paper presents Echo State Network (ESN) as classifier to diagnose the abnormalities in mammogram images. Abnormalities mammograms can be of different types. An efficient system which handle these and draw correct diagnosis is vital. We experimented with wavelet Local Energy based Shape Histogram (LESH) features combined classifier. suggested produces high classification accuracy 98% well sensitivity specificity rates. compared performance ESN Support Vector Machine (SVM) other classifiers results generated indicate that compete benchmark some cases beat them. rate Sensitivity Specificity also signifies power detect positive negative case correctly.
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