Semi-Automated Segmentation of Single and Multiple Tumors in Liver CT Images Using Entropy-Based Fuzzy Region Growing-Reference-Cited by-同舟云学术

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Semi-Automated Segmentation of Single and Multiple Tumors in Liver CT Images Using Entropy-Based Fuzzy Region Growing

Published:2017-04 Issue:2 Volume:38 Page:98-108
ISSN:1959-0318
Container-title:IRBM
language:en
Short-container-title:IRBM

Author:

Baâzaoui A.,Barhoumi W.,Ahmed A.,Zagrouba E.

Publisher

Elsevier BV

Subject

Biomedical Engineering,Biophysics

Reference24 articles.

1. A new unified level set method for semi-automatic liver tumor segmentation on contrast enhanced CT images;Li;Expert Syst Appl,2012

2. World cancer report 2014;Stewart,2014

3. Automatic detection and segmentation of liver metastatic lesions on serial CT examinations;Cohen,2014

4. Automatic segmentation of liver and tumor for CAD of liver;Kumar;J Adv Inf Technol,2011

5. Liver tumor detection in CT images by adaptive contrast enhancement and the EM/MPM algorithm;Masuda,2011

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