Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images

@article{Win2018ComparativeSO,
  title={Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images},
  author={Khin Yadanar Win and Somsak Choomchuay and Kazuhiko Hamamoto and Manasanan Raveesunthornkiat},
  journal={Journal of Healthcare Engineering},
  year={2018},
  volume={2018}
}
Automated cell nuclei segmentation is the most crucial step toward the implementation of a computer-aided diagnosis system for cancer cells. Studies on the automated analysis of cytology pleural effusion images are few because of the lack of reliable cell nuclei segmentation methods. Therefore, this paper presents a comparative study of twelve nuclei segmentation methods for cytology pleural effusion images. Each method involves three main steps: preprocessing, segmentation, and postprocessing… 

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