Cervical cell recognition based on AGVF-Snake algorithm.

Journal: International journal of computer assisted radiology and surgery
Published Date: Nov 1, 2019

Abstract

PURPOSE: In recent years, with the increasing incidence of cervical cancer, it is a tedious and time-consuming task with unsatisfying accuracy to manually recognize the cells. Machine recognition can be a good solution, but it suffers from the difficulty of obtaining precise edges of cells, which directly influence the final recognition accuracy. To improve the recognition accuracy and shorten the time used for cell recognition, an AGVF-Snake (Adaptive Gradient Vector Flow-Snake) model for the extraction of cell edges has been proposed in this paper.

Authors

  • Na Dong
    School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin, China. dongna@tju.edu.cn.
  • Li Zhao
    International Initiative on Spatial Lifecourse Epidemiology (ISLE), the Netherlands; Department of Health Policy and Management, West China School of Public Health/West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China; Research Center for Healthy City Development, Sichuan University, Chengdu, Sichuan, 610041, China; Healthy Food Evaluation Research Center, Sichuan University, Chengdu, Sichuan, 610041, China.
  • Aiguo Wu
    School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin, China.

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