Advanced Machine Vision Paradigms for Medical Image Analysis

5. Results

In this section, we present results obtained with the proposed method, mELM, and with the following classifiers common in the state of the art: ELM linear kernel, ELM kernel Radial Basis Function (RBF), ELM with activation function RBF, ELM with sigmoid activation function, Bayesian networks, naive Bayes networks, MLP networks, RBF networks, Support Vector Machine (SVM) linear kernel, SVM polynomial kernel degree 2, SVM kernel polynomial kernel degree 3, SVM polynomial kernel degree 4, SVM polynomial kernel degree 5, SVM kernel RBF, k-Nearest Neighbours (kNN) (k   =   1), kNN (k   =   3), kNN (k   =   5), kNN (k   =   7), kNN (k   =   9), J48, random tree, and random forest.

Figure 3.10 Example of lack of care when scanning ...