Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set

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Cite
Li, Xuechen, et al. “Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set”. Journal of Signal and Information Processing, vol. 04, no. 03, 2013, pp. 36-42, https://doi.org/10.4236/jsip.2013.43b007.
Li, X., Luo, S., & Li, J. (2013). Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set. Journal of Signal and Information Processing, 04(03), 36-42. https://doi.org/10.4236/jsip.2013.43b007
Li X, Luo S, Li J. Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set. Journal of Signal and Information Processing. 2013;04(03):36-42.
Refrences
Title Journal Journal Categories Citations Publication Date
10.1109/TBME.2010.2056369
10.1109/TBME.2010.2056369
10.1109/TBME.2010.2056369
10.1109/TBME.2010.2056369
10.1109/TBME.2010.2056369
Citations
Title Journal Journal Categories Citations Publication Date
New Technique for Automatic Segmentation of Blood Vessels in CT Scan Images of Liver Based on Optimized Fuzzy C-Means Method

 Computational and Mathematical Methods in Medicine
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics
 4 2016
Automatic Liver Segmentation from CT Images Using Single-Block Linear Detection

 BioMed Research International
  • Technology: Chemical technology: Biotechnology
  • Medicine: Medicine (General)
 7 2016
Citations Analysis
Category Category Repetition
Technology: Chemical technology: Biotechnology1
Medicine: Medicine (General)1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
Science: Biology (General)1
Science: Mathematics1
The category Technology: Chemical technology: Biotechnology 1 is the most commonly referenced area in studies that cite this article.