Support Vector Machines for Diagnosis of Breast Tumors on US Images
Journal
Academic Radiology
Journal Volume
10
Journal Issue
2
Pages
189--197
Date Issued
2003-02
Author(s)
Abstract
The SVM proved helpful in the imaging diagnosis of breast cancer. The classification ability of the SVM is nearly equal to that of the neural network model, and the SVM has a much shorter training time (1 vs 189 seconds). Given the increasing size and complexity of data sets, the SVM is therefore preferable for computer-aided diagnosis.
SDGs
Type
journal article