A new medical image segmentation model based on fractional order differentiation and level set

2018 ◽  
Author(s):  
Bo Chen ◽  
Shan Huang ◽  
Feifei Xie ◽  
Lihong Li ◽  
Wensheng Chen ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Fractional Order ◽  
Level Set ◽  
Medical Image ◽  
Medical Image Segmentation ◽  
Model Based

Visual Analytics for model-based medical image segmentation: Opportunities and challenges

2013 ◽  
Vol 40 (12) ◽  
pp. 4934-4943 ◽  
Author(s):  
Tatiana von Landesberger ◽  
Sebastian Bremm ◽  
Matthias Kirschner ◽  
Stefan Wesarg ◽  
Arjan Kuijper
Keyword(s):  
Image Segmentation ◽  
Visual Analytics ◽  
Medical Image ◽  
Medical Image Segmentation ◽  
Model Based

scholarly journals Combining interpolation and 3D level set method (I+3DLSM) for medical image segmentation

2016 ◽  
Vol 52 (8) ◽  
pp. 592-594 ◽  
Author(s):  
T. Doshi ◽  
G. Di Caterina ◽  
J. Soraghan ◽  
L. Petropoulakis ◽  
D. Grose ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Medical Image ◽  
Medical Image Segmentation

Medical Imaging Importance in the Real World

2020 ◽  
pp. 136-162
Author(s):  
Ramgopal Kashyap
Keyword(s):  
Image Segmentation ◽  
Edge Detection ◽  
Level Set ◽  
Real World ◽  
Medical Image ◽  
Automatic Segmentation ◽  
Medical Image Segmentation ◽  
Image Resolution ◽  
Variational Model ◽  
Medical Applications

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.

Correntropy-based level set method for medical image segmentation and bias correction

2017 ◽  
Vol 234 ◽  
pp. 216-229 ◽  
Author(s):  
Sanping Zhou ◽  
Jinjun Wang ◽  
Mengmeng Zhang ◽  
Qing Cai ◽  
Yihong Gong
Keyword(s):  
Image Segmentation ◽  
Level Set Method ◽  
Level Set ◽  
Bias Correction ◽  
Medical Image ◽  
Medical Image Segmentation
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