Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition

<div>ROC curves of three classifiers. (a) ELM versus CCV-ELM, (b) SVM versus CCV-SVM, and (c) RF versus CCV-RF. The red curves represent original classifiers and the green curves are the classifiers optimized by CCV.</div>

BioMed Research International

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Figure 9

Figure 9: Sparse Contribution Feature Selection and Classifiers Optimized by Concave-Convex Variation for HCC Image Recognition 