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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
Metadata
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Cite This
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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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.