Classification of Tumors in Breast Echography Using a SVM Algorithm

Abstract

In this work tumor classification was performed using K-means and GLCM algorithms to segment ultrasound images. In order to apply Stavros criteria, a lineal support vector machine (SVM) algorithm was used to classify benign and malignant tumors. 94% of echographies were correctly classified.