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

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.


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This research study proposed a novel algorithm, called time-counter, to optimise inspection intervals of production systems. The developed algorithm was applied to two active draglines. The algorithm evaluated random uptime/downtime characteristics of the draglines and the planned dragline halts in the mine. Physical and random non-physical costs were included and annual maintenance cost minimisation was achieved. Dragline-1 and Dragline-2 inspection intervals were optimised as 232 and 184 h and their maint...
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.