Applying the improved fuzzy cellular neural network IFCNN to white blood cell detection

Wang Shitong; Fu Lai Korris Chung; Fu Duan

doi:10.1016/j.neucom.2006.07.012

Applying the improved fuzzy cellular neural network IFCNN to white blood cell detection

Wang Shitong, Fu Lai Korris Chung, Fu Duan

Research output: Journal article publication › Journal article › Academic research › peer-review

63 Citations (Scopus)

Abstract

Although algorithm NDA based on the fuzzy cellular neural network (FCNN) has indicated the basic superiority in its adaptability and easy hardware-realization for microscopic white blood cell detection [Wang Shitong, Wang Min, A new algorithm NDA based on fuzzy cellular neural networks for white blood cell detection, IEEE Trans. Inf. Technol. Biomed., accepted], it still does not work very well in keeping the boundary integrity of a white blood cell. In this paper, the improved version of FCNN called IFCNN is proposed to tackle this issue. The distinctive characteristic of IFCNN is to incorporate the novel fuzzy status containing the useful information beyond a white blood cell into its state equation, resulting in enhancing the boundary integrity. Our theoretical analysis shows that IFCNN has the global stability and the experimental results demonstrate its obvious advantage over FCNN in keeping the boundary integrity.

Original language	English
Pages (from-to)	1348-1359
Number of pages	12
Journal	Neurocomputing
Volume	70
Issue number	7-9
DOIs	https://doi.org/10.1016/j.neucom.2006.07.012
Publication status	Published - 1 Mar 2007

Keywords

Boundary integrity
Fuzzy cellular neural networks
Parameter templates
White blood cell detection

ASJC Scopus subject areas

Artificial Intelligence
Cellular and Molecular Neuroscience

More information

10.1016/j.neucom.2006.07.012

Cite this

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title = "Applying the improved fuzzy cellular neural network IFCNN to white blood cell detection",

abstract = "Although algorithm NDA based on the fuzzy cellular neural network (FCNN) has indicated the basic superiority in its adaptability and easy hardware-realization for microscopic white blood cell detection [Wang Shitong, Wang Min, A new algorithm NDA based on fuzzy cellular neural networks for white blood cell detection, IEEE Trans. Inf. Technol. Biomed., accepted], it still does not work very well in keeping the boundary integrity of a white blood cell. In this paper, the improved version of FCNN called IFCNN is proposed to tackle this issue. The distinctive characteristic of IFCNN is to incorporate the novel fuzzy status containing the useful information beyond a white blood cell into its state equation, resulting in enhancing the boundary integrity. Our theoretical analysis shows that IFCNN has the global stability and the experimental results demonstrate its obvious advantage over FCNN in keeping the boundary integrity.",

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author = "Wang Shitong and Chung, {Fu Lai Korris} and Fu Duan",

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AU - Duan, Fu

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Applying the improved fuzzy cellular neural network IFCNN to white blood cell detection

Abstract

Keywords

ASJC Scopus subject areas

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