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

@article{Arimura2009ComputerAidedDS,
  title={Computer-Aided Diagnosis Systems for Brain Diseases in Magnetic Resonance Images},
  author={Hidetaka Arimura and Taiki Magome and Yasuo Yamashita and Daisuke Yamamoto},
  journal={Algorithms},
  year={2009},
  volume={2},
  pages={925-952}
}
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… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 96 references

Prevalence of dementia in the older Japanese-Brazilian population.

Psychiatry and clinical neurosciences • 2002
View 7 Excerpts
Highly Influenced

Statistical Pattern Recognition: A Review

IEEE Trans. Pattern Anal. Mach. Intell. • 2000
View 4 Excerpts
Highly Influenced

Computer-aided detection of multiple sclerosis lesions based on three types of blain

D. Yamamoto, H. Arimura, +6 authors Y. Korogi
MR images. International Journal of Computer Assisted Radiology and Surgery (CARS) • 2008
View 10 Excerpts
Highly Influenced

Computerized detection of multiple sclerosis lesions based on 3.0T two-dimensional magnetic resonance images. The Institute of Electronics, Information and Communication Engineers (IEICE

D. Yamamoto, H. Arimura, +6 authors Y. Korogi
Technical Report 2009, • 2008
View 10 Excerpts
Highly Influenced

Feasibility of a curvature-based enhanced display system for detecting cerebral aneurysms in MR angiography.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine • 2003
View 5 Excerpts
Highly Influenced

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