A level-set based medical image segmentation tool for the creation of spinal finite element models

2006 ◽  
Vol 39 ◽  
pp. S644
Author(s):  
A. Jones ◽  
D. Magee ◽  
A. Bulpitt ◽  
R. Wilcox
2016 ◽  
Vol 52 (8) ◽  
pp. 592-594 ◽  
Author(s):  
T. Doshi ◽  
G. Di Caterina ◽  
J. Soraghan ◽  
L. Petropoulakis ◽  
D. Grose ◽  
...  

Author(s):  
Ramgopal Kashyap

In the medical image resolution, automatic segmentation is a challenging task, and it's still an unsolved problem for most medical applications due to the wide variety connected with image modalities, encoding parameters, and organic variability. In this chapter, a review and critique of medical image segmentation using clustering, compression, histogram, edge detection, parametric, variational model. and level set-based methods is presented. Modes of segmentation like manual, semi-automatic, interactive, and automatic are also discussed. To present current challenges, aim and motivation for doing fast, interactive and correct segmentation, the medical image modalities X-ray, CT, MRI, and PET are discussed in this chapter.


2017 ◽  
Vol 234 ◽  
pp. 216-229 ◽  
Author(s):  
Sanping Zhou ◽  
Jinjun Wang ◽  
Mengmeng Zhang ◽  
Qing Cai ◽  
Yihong Gong

2011 ◽  
Author(s):  
Jiansheng Chen ◽  
Ji Luo ◽  
Chunhua Hu ◽  
Xue Zeng ◽  
Cong Xia ◽  
...  

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