Automatic segmentation of brain MRI through stationary wavelet transform and random forests-Reference-Cited by-同舟云学术

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Automatic segmentation of brain MRI through stationary wavelet transform and random forests

Published:2014-05-30 Issue:4 Volume:18 Page:829-843
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Bendib Mohamed Mokhtar,Merouani Hayet Farida,Diaba Fatma

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

http://link.springer.com/content/pdf/10.1007/s10044-014-0373-y.pdf

Reference88 articles.

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2. Rizzo G, Tonon C, Lodi R (2012) Looking into the brain: how can conventional, morphometric and functional MRI help in diagnosing and understanding PD? Basal Ganglia 2:175–182

3. Laatsch L (2007) The use of functional MRI in traumatic brain injury diagnosis and treatment. Phys Med Rehabil Clin N Am 18:69–85

4. Sahraian MA, Eshaghi A (2010) Role of MRI in diagnosis and treatment of multiple sclerosis. Clin Neurol Neurosurg 112:609–615

5. Saconn PA, Shaw EG, Chan MD, Squire SE, Johnson AJ, McMullen KP, Tatter SB, Ellis TL, Lovato J, Bourland JD, Ekstrand KE, DeGuzman AF, Munley MT (2010) Use of 3.0-T MRI for stereotactic radiosurgery planning for treatment of brain metastases: a single-institution retrospective review. Int J Radiat Oncol Biol Phys 78:1142–1146

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