A Novel Approach for Segmenting WBCs in Smartphones Using Color-Based Segmentation

Author:

Dey Ratnadeep,Roy Kaushiki,Bhattacharjee Debotosh,Nasipuri Mita,Ghosh Pramit

Publisher

Springer Singapore

Reference18 articles.

1. Martin S. Blumenreich; “The White Blood Cell and Differential Count”; Chapter 153; Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd edition; Boston: Butterworths; 1990.

2. Hansen LK1, Grimm RH Jr, Neaton JD. “The relationship of white blood cell count to other cardiovascular risk factors.” Int J Epidemiol. 1990 Dec; 19(4):881–8.

3. Leyza Baldo Dorini, Rodrigo Minetto and NeucimarJerˆonimoLeite: “Semi-automatic white blood cell segmentation based on multiscale analysis” IEEE Journal Of Biomedical And Health Informatics, Vol. 17, No. 1, January 2013.

4. W. Shitongand, W. Min, “A new detection algorithm (NDA) based on fuzzy cellular neural networks for white blood cell detection,” IEEE Trans. Inf. Technol. Biomed., vol. 10, no. 1, pp. 5–10, Jan. 2006.

5. J.B. Nemane, V. A. Chakkarwar: “A Novel Method of White Blood Cell Segmentation and Counting”, International Journal on Advanced Computer Engineering and Communication Technology Vol-1 Issue:1: ISSN2278–5140.

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