Computer-aided diagnosis systems for brain diseases in magnetic resonance images

Hidetaka Arimura, Taiki Magome, Yasuo Yamashita, Daisuke Yamamoto

Research output: Contribution to journalReview articlepeer-review

50 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)925-952
Number of pages28
JournalAlgorithms
Volume2
Issue number3
DOIs
Publication statusPublished - Sep 2009

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Numerical Analysis
  • Computational Theory and Mathematics
  • Computational Mathematics

Fingerprint Dive into the research topics of 'Computer-aided diagnosis systems for brain diseases in magnetic resonance images'. Together they form a unique fingerprint.

Cite this