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Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 9514707, 12 pages
http://dx.doi.org/10.1155/2016/9514707
Research Article

Segmentation of White Blood Cell from Acute Lymphoblastic Leukemia Images Using Dual-Threshold Method

Yan Li,1,2 Rui Zhu,1 Lei Mi,1 Yihui Cao,1,2 and Di Yao3

1State Key Laboratory of Transient Optics and Photonics, Xi’an Institute of Optics and Precision Mechanics of Chinese Academy of Sciences, Xi’an 710119, China
2University of Chinese Academy of Sciences, 52 Sanlihe Road, Beijing 100864, China
3Shenzhen Vivolight Medical Device and Technology Co., Ltd., Shenzhen 518000, China

Received 30 December 2015; Revised 7 April 2016; Accepted 21 April 2016

Academic Editor: Jayaram K. Udupa

Copyright © 2016 Yan Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • R.G Bagasjvara, Ika Candradewi, Sri Hartati, and Agus Harjoko, “Automated detection and classification techniques of Acute leukemia using image processing: A review,” 2016 2nd International Conference on Science and Technology-Computer (ICST), pp. 35–43, . View at Publisher · View at Google Scholar
  • Jianwei Zhao, Minshu Zhang, Zhenghua Zhou, Jianjun Chu, and Feilong Cao, “Automatic detection and classification of leukocytes using convolutional neural networks,” Medical & Biological Engineering & Computing, 2016. View at Publisher · View at Google Scholar
  • Jie Su, Shuai Liu, and Jinming Song, “A segmentation method based on HMRF for the aided diagnosis of Acute Myeloid Leukemia,” Computer Methods and Programs in Biomedicine, 2017. View at Publisher · View at Google Scholar
  • Jyoti Rawat, Jagtar Singh Devgun, Annapurna Singh, Bhadauria Hs, and Jitendra Virmani, “Computer assisted classification framework for prediction of acute lymphoblastic and acute myeloblastic leukemia,” Biocybernetics and Biomedical Engineering, vol. 37, no. 4, pp. 637–654, 2017. View at Publisher · View at Google Scholar
  • Sarmad Shafique, and Samabia Tehsin, “Computer-Aided Diagnosis of Acute Lymphoblastic Leukaemia,” Computational and Mathematical Methods in Medicine, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar
  • Simge Çelebi, and Mert Burkay Çöteli, “Red and white blood cell classification using Artificial Neural Networks,” AIMS Bioengineering, vol. 5, no. 3, pp. 179–191, 2018. View at Publisher · View at Google Scholar