Segmentation and quantification of intra-ventricular/cerebral hemorrhage in CT scans by modified distance regularized level set evolution technique-Reference-Cited by-同舟云学术

Segmentation and quantification of intra-ventricular/cerebral hemorrhage in CT scans by modified distance regularized level set evolution technique

Published:2012-02-01 Issue:5 Volume:7 Page:785-798
ISSN:1861-6410
Container-title:International Journal of Computer Assisted Radiology and Surgery
language:en
Short-container-title:Int J CARS

Author:

Prakash K. N. Bhanu,Zhou Shi,Morgan Tim C.,Hanley Daniel F.,Nowinski Wieslaw L.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11548-012-0670-0.pdf

Reference24 articles.

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2. Davis SM, Broderick J, Hennerici M et al (2006) Hematoma growth is a determinant of mortality and poor outcome after intracerebral hemorrhage. Neurology 66(8): 1175–1181

3. Flaherty ML, Haverbusch M, Sekar P et al (2006) Long-term mortality after intracerebral hemorrhage. Neurology 66(8): 1182–1186

4. http://www.ccmtutorials.com/neuro/. Accessed on 20 Sept 2011

5. Chen W, Smith R, Ji SY et al (2009) Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching. BMC Med Inform Decis Mak 9(Suppl 1): S4

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