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Subject: Classification, Support Vector Machines (SVMs), Magnetic Resonance Images (MRIs), neural networks

Year: 2010

Type: Proceedings

Title: Classification of magnetic resonance images

Author: Trojacanec, Katarina
Author: Madjarov, Gjorgji
Author: Gjorgjevikj, Dejan
Author: Loshkovska, Suzana

Abstract: The aim of the paper is to compare classification error of the classifiers applied to magnetic resonance images for each descriptor used for feature extraction. We compared several Support Vector Machine (SVM) techniques, neural networks and k nearest neighbor classifier for classification of Magnetic Resonance Images (MRIs). Different descriptors are applied to provide feature extraction from the images. The dataset used for classification contains magnetic resonance images classified in 9 classes.

Publisher: IEEE

Relation: Proceedings of the ITI 2010, 32nd International Conference on Information Technology Interfaces

Identifier: oai:repository.ukim.mk:20.500.12188/23144
Identifier: http://hdl.handle.net/20.500.12188/23144

Title	Date	Views
Classification of magnetic resonance images	2010	29