Accurate Segmentation of Partially Overlapping Cervical Cells Based on Dynamic Sparse Contour Searching and GVF Snake Model

@article{Guan2015AccurateSO,
  title={Accurate Segmentation of Partially Overlapping Cervical Cells Based on Dynamic Sparse Contour Searching and GVF Snake Model},
  author={Tao Guan and Dongxiang Zhou and Yunhui Liu},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2015},
  volume={19},
  pages={1494-1504}
}
Overlapping cells segmentation is one of the challenging topics in medical image processing. In this paper, we propose to approximately represent the cell contour as a set of sparse contour points, which can be further partitioned into two parts: the strong contour points and the weak contour points. We consider the cell contour extraction as a contour points locating problem and propose an effective and robust framework for segmentation of partially overlapping cells in cervical smear images… CONTINUE READING

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Pap-smear classification, Master’s thesis, Technical University of Denmark, Oersted-DTU

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  • Automation, Lyngby, Denmark,
  • 2003
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