An Intelligent Diagnosis Method of MRI in Classifying Prostate Cancerous Tissue Using SVM Algorithm with Different Kernels

Abstract

Prostate cancer (Pca) is the most common malignancy and the second most dominant cause of cancer-related deaths in men in Western countries, with an incidence rate composed over 200 per 100,000 men. 1 The early diagnosis of Pca will lead to an obvious increase of patients’ survival, and as a result, a decrease of treatment costs. 2 Rapid and accurate diagnosis of Pca is for (mp-MRI) anatomic with functional MRI technique, for diagnosis, of T2-weighted contributions to the localization and characterization of abnormalities in the T2WI are of identifying the