Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm-Reference-Cited by-同舟云学术

Nucleus segmentation of cervical cytology images based on multi-scale fuzzy clustering algorithm

Published:2020-01-01 Issue:1 Volume:11 Page:484-501
ISSN:2165-5979
Container-title:Bioengineered
language:en
Short-container-title:Bioengineered

Author:

Huang Jinjie¹²,Wang Tao¹²³,Zheng Dequan³,He Yongjun²

Affiliation:

1. Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin, China

2. School of Computer Science, Harbin University of Science and Technology, Harbin, China

3. Network and Education Technology Center, Harbin University of Commerce, Harbin, China

Funder

National Natural Science Foundation of China

Natural Science Fund Project of Heilongjiang

Publisher

Informa UK Limited

Subject

Applied Microbiology and Biotechnology,General Medicine,Bioengineering,Biotechnology

Link

https://www.tandfonline.com/doi/pdf/10.1080/21655979.2020.1747834

Reference41 articles.

1. World Health Organization, Comprehensive cervical cancercontrol: a guide to essential practice, World Health Organization, Department of Reproductive Health and Research and Department of Chronic Diseases and Health Promotion, Geneva, Switzerland, 2006.

2. Unsupervised cell nucleus segmentation with active contours

3. A parametric fitting algorithm for segmentation of cell images

4. Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering

5. Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement

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