Brain Tumor Classification Using Shape Analysis of MRI Images
8 Pages Posted: 25 Jul 2019 Last revised: 30 Sep 2019
Date Written: May 18, 2019
Brain tumor is mass of normal and abnormal cells in a brain. In medical field, MRI images are widely used for brain tumor detection. MRI images gives broad information about soft tissues of human body. This information can be used for brain tumor detection by using feature extraction technique. Brain tumor can be classified into Benign and Malignant. The common goal of feature extraction and representation techniques is to convert the segmented objects into representations that better describe their main features and attributes. The proposed methodology describes extraction of tumor from MRI images. Firstly, find out the region of interest of brain tumor for feature extraction and then calculate the shape features. Obtained shape features used for the classification of Benign and Malignant tumor. Random forest gives the better accuracy than support vector machine for classification of tumor.
Keywords: Classification, MRI images, Segmentation, Shape features
JEL Classification: Y60
Suggested Citation: Suggested Citation