Supervised Neural Networks for the Automatic Classification of Leukocytes in Blood Microscope Images

Sheng Fuu Lin; Chien Hao Tseng; Chung I Huang

doi:10.4028/www.scientific.net/AMM.479-480.491

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 479-480Supervised Neural Networks for the Automatic...

Supervised Neural Networks for the Automatic Classification of Leukocytes in Blood Microscope Images

Abstract:

In this paper, the application of the supervised learning system to automatic classification of leukocytes processing for the microscopic images analysis is presented. The traditional pattern classification in cellular images is typically made by experienced operators. Such procedures may present a non-standard and unstable accuracy when it depends on the operator’s capabilities and tiredness. In this study, we propose the supervised learning system to achieve an automated segmentation and classification of leukocytes based on supervised neural networks and image processing methods. The experimental results show that the proposed automatic classification learning system can effectively classify the five types of the leukocytes in microscopic cell images, as well as to compare the classification results to those obtained by the medical experts.

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Periodical:

Applied Mechanics and Materials (Volumes 479-480)

Pages:

491-495

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.479-480.491

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Online since:

December 2013

Authors:

Sheng Fuu Lin, Chien Hao Tseng, Chung I Huang

Keywords:

Automatic Cell Classification, Image Processing, Morphological Analysis, Multilayer Perceptron (MLP)

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References

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