Support Vector Machine for MRI Stroke Classfication
Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 4
Abstract
Magnetic resonance imaging (MRI) is a low-risk, non-invasive imaging technique without ionizing radiation hazard, providing high quality/high contrast images and functional images of anatomical structures and organs. In this study, a method to classify the MRI images of the brain related to stroke is presented. Stroke is a sudden development of neurological damage. In this paper, the MRI images for stroke classification use Gabor filters and Histograms to extract features from the images. In the proposed feature extraction method, the features from Gabor filter and histogram features are fused. The extracted features are classified using Support Vector Machine (SVM) with various kernels. Experimental results are shown that the presented method achieves satisfactory classification accuracy
Authors and Affiliations
A. S. Shanthi , M. Karthikeyan
Keywords
Related Articles
- EP ID EP126680
- DOI -
- Views 133
- Downloads 0
Multi Subgroup Data Compression Technique Using Switch Code
Data compression is the art of converting a data stream into a small in size data bits so that it can be easily travel a long istance without increasing load of its volume on a constant Bandwidth channel regardless of i...
Performance Comparison of Common Table Expressions and Cursors
This paper compares the performance of common table expressions and cursors when implemented for complex queries. Cursor enables traversal of records in a database. Cursors can also be called as “Iterators”, as it perfor...
TRAFFIC ANALYSIS OF DSR, AODV AND OLSR USING TCP AND UDP
Mobile Ad-hoc Network (MANET) is a collection of wireless mobile nodes dynamically forming a temporary network without the aid of any established infrastructure or centralized administration. Routing protocols in MANET h...
The Trust-Based MAC-Layer Security Protocol for Mobile Ad hoc Networks
In this paper, we develop a trust based security protocol based on a MAC-layer approach which attains confidentiality and authentication of packets in both routing and link layers of MANETs. In the first phase of the pro...
ENHANCED SECURITY IN SECURE SOCKET LAYER 3.0 SPECIFICATION
We address the issue network security.All the bank provides 128 bit ssl encryption in two way communication between client and server.In this paper we can tell you idea behind 256 ssl encryption.By which two way communic...