Rapid Detection of Individual Cells Based on K-means Clustering and Regional Connectivity

Author:

Xu Kaikai1,Su Jie1,Chen Yuehui1,Cao Yi1

Affiliation:

1. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China

Funder

Natural Science Foundation of Shandong province ,

Harbin Scientific and Technological Innovation Talents,

Postdoctoral Science Foundation of Jinan University,

Publisher

ACM Press

Reference22 articles.

1. Wikipedia, F. 2015. Leukemia. [Online]. Available: https://en.wikipedia.org/wiki/Leukemia.

2. Nimer, S. D. 2008. Myelodysplastic syndromes. Blood. 111, 10 (May. 2008), 4841--4851. DOI: https://doi.org/10.1182/blood-2007-08-078139.

3. Kumar, S., Mishra, S., Asthana, S., and Pragya, P. 2018. Automated Detection of Acute Leukemia Using K-mean Clustering Algorithm. In Advances in Computer and Computational Sciences, (Sept. 2018). Springer, 655--670. DOI=https://doi.org/10.1007/978-981-10-3773-3_64.

4. Tareef, A. Song, Y. Feng, D. Chen M., and Cai, W. 2017. Automated multi-stage segmentation of white blood cells via optimizing color processing. In 14th Int Symp Biomed Imaging (Melbourne, Sydney, Apr 18-21, 2017). IEEE, 565--568.

5. Agaian, S., Madhukar, M., and Chronopoulos, A.T. 2014. Automated screening system for acute myelogenous leukemia detection in blood microscopic images, IEEE Syst. J. 8, 3 (Sept. 2014), 995--1004.

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