Comparison of Different Kernels in a Support Vector Machine to Classify Prostate Cancerous Tissues in T2-Weighted Magnetic Resonance Imaging
Ahmad Shanei, Mahnaz Etehadtavakol, Mohammadreza Azizian, E. Y. K. Ng · Exploratory Research and Hypothesis in Medicine · 2022
A support vector machine (SVM) is one of the most powerful classifiers in machine learning that can be applied when a data set is introduced in two classes in a high dimensional feature space. The objective of this study is to compare different kernels of SVMs to classify prostate cancerous tissues.