Snake-Based Liver Lesion Segmentation

Chetankumar Krishnamurthy, Jeffrey J. Rodríguez, Robert J. Gillies

Research output: Contribution to conferencePaperpeer-review

18 Scopus citations


A novel and robust method for accurate segmentation of liver lesions is discussed in this paper. The initial contour for the snake is formed using edge and region information. The modified snake, guided by fuzzy edge information deforms from this initial position, providing an accurate representation of the lesion boundary with few iterations and minimal user interaction. Results obtained from this algorithm are comparable to those obtained from manual segmentation by a trained radiologist.

Original languageEnglish (US)
Number of pages5
StatePublished - 2004
Event2004 IEEE Southwest Symposium on Image Analysis and Interpretation - Lake Tahoe, NV, United States
Duration: Mar 28 2004Mar 30 2004


Other2004 IEEE Southwest Symposium on Image Analysis and Interpretation
Country/TerritoryUnited States
CityLake Tahoe, NV

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications


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