Nuclei Segmentation of Cervical Cell Images Based on Intermediate Segment Qualifier

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

The accurate nuclei segmentation of cervical cell images is a very vital step in automated cervical diseases diagnosis. However, segmentation challenges exist because of problems such as nuclei embedment into cytoplasm folding or overlapping areas, impurity interference, low contrast and nuclei variation in shape and size. These problems can cause the nuclei segmentation results not so ideal. This paper presents an automated method for cells nuclei detection in cervical cell images. We propose an intermediate segment qualifier to categorize the nuclei segmentation results after the nuclei segmentation based on the integration of convolutional neural network and simple linear iterative clustering superpixel method. Then we apply a gradient vector flow snake model for further refinement. We evaluate the proposed method using the ISBI 2014 challenge dataset. In the experiments, we demonstrate that our method performs well and is preferable to the state-of-the-art approaches.

元の言語English
ホスト出版物のタイトル2018 24th International Conference on Pattern Recognition, ICPR 2018
出版者Institute of Electrical and Electronics Engineers Inc.
ページ3941-3946
ページ数6
ISBN(電子版)9781538637883
DOI
出版物ステータスPublished - 2018 11 26
外部発表Yes
イベント24th International Conference on Pattern Recognition, ICPR 2018 - Beijing, China
継続期間: 2018 8 202018 8 24

出版物シリーズ

名前Proceedings - International Conference on Pattern Recognition
2018-August
ISSN(印刷物)1051-4651

Other

Other24th International Conference on Pattern Recognition, ICPR 2018
China
Beijing
期間18/8/2018/8/24

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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  • これを引用

    Wang, R., & Kamata, S. (2018). Nuclei Segmentation of Cervical Cell Images Based on Intermediate Segment Qualifier. : 2018 24th International Conference on Pattern Recognition, ICPR 2018 (pp. 3941-3946). [8546215] (Proceedings - International Conference on Pattern Recognition; 巻数 2018-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.2018.8546215