The Application of the Snake Model in Carcinoma Cell Image Segment

  • Zhen Zhang
  • Peng Zhang
  • Xiaobo Mao
  • Shanzhong Zhang
Part of the Communications in Computer and Information Science book series (CCIS, volume 15)


Accurate cell nucleus segmentation is crucial for the development of automated cytological cancer recognition and diagnosis system. The paper proposes an improved Snake model for esophageal cell image based on the study of several main methods for esophageal cell image and analysis of their advantages and disadvantages. The novel cell nucleus segmentation method has been tested on a number of cell images obtained from esophageal smear slide and the results are encouraging. Experimental results show that the presented method performs well on both well-separated nuclei and some overlapped nuclei.


snake model image segmentation cell Image cell boundary  esophageal cancer 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Zhen Zhang
    • 1
  • Peng Zhang
    • 1
  • Xiaobo Mao
    • 1
  • Shanzhong Zhang
    • 2
  1. 1.School of Electrical EngineeringZhengzhou UniversityZhengzhouChina
  2. 2.Highway Administration Bureau of ZhengzhouZhengzhouChina

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