Feature extraction and classification of blood cells for an automated differential blood count system

Date

2001-07-19

Author

ONGUN, GÜÇLÜ
Halıcı, Uğur
Leblebicioğlu, Mehmet Kemal
Atalay, Mehmet Volkan
Beksac, M
Beksac, S

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The differential blood counter (DBC) system that we have developed is an attempt to automate the task performed manually by experts in routine. Feature extraction and classification are two important components of our automated system. In this paper, classification of blood cells using various approaches including neural network based classifiers and support vector machine are presented together with the features used in the classification.

Subject Keywords

Blood, Feature extraction, Cells (biology), Neural networks, Counting circuits, Support vector machines, Support vector machine classification, Image segmentation, Computer vision, Biomedical imaging

URI

https://hdl.handle.net/11511/46195

DOI

https://doi.org/10.1109/ijcnn.2001.938753

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

G. ONGUN, U. Halıcı, M. K. Leblebicioğlu, M. V. Atalay, M. Beksac, and S. Beksac, “Feature extraction and classification of blood cells for an automated differential blood count system,” 2001, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46195.