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Pathological liver segmentation using stochastic resonance and cellular automata

Published:2016-01 Issue: Volume:34 Page:89-102
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Dakua Sarada Prasad,Abinahed Julien,Al-Ansari Abdulla A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference64 articles.

1. Survey on liver CT image segmentation methods;Mharib;Artif. Intell. Rev.,2012

2. Construction of an abdominal probabilistic atlas and its application in segmentation;Park;IEEE Trans. Med. Imag.,2003

3. A deformable model for automatic CT liver extraction;Gao;Acad. Radiol.,2005

4. Automatic liver segmentation for volume measurement in CT images;Lim;J. Vis. Commun. Image Represent.,2006

5. A new fully automatic and robust algorithm for fast segmentation of liver tissue and tumors from CT scans;Massoptier;Eur. J. Radiol.,2008

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