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Algorithms 2009, 2(3), 925-952; doi:10.3390/a2030925

Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images

1
Faculty of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
2
Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan
*
Author to whom correspondence should be addressed.
Received: 27 March 2009 / Revised: 6 June 2009 / Accepted: 2 July 2009 / Published: 10 July 2009
(This article belongs to the Special Issue Machine Learning for Medical Imaging)
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Abstract

This paper reviews the basics and recent researches of computer-aided diagnosis (CAD) systems for assisting neuroradiologists in detection of brain diseases, e.g., asymptomatic unruptured aneurysms, Alzheimer's disease, vascular dementia, and multiple sclerosis (MS), in magnetic resonance (MR) images. The CAD systems consist of image feature extraction based on image processing techniques and machine learning classifiers such as linear discriminant analysis, artificial neural networks, and support vector machines. We introduce useful examples of the CAD systems in the neuroradiology, and conclude with possibilities in the future of the CAD systems for brain diseases in MR images.
Keywords: Computer-Aided Diagnosis (CAD) system; brain diseases; Magnetic Resonance (MR) images; image processing techniques Computer-Aided Diagnosis (CAD) system; brain diseases; Magnetic Resonance (MR) images; image processing techniques
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Arimura, H.; Magome, T.; Yamashita, Y.; Yamamoto, D. Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images. Algorithms 2009, 2, 925-952.

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