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Blood Cell Identification Using A Simple Neural Network. (Khashman, Adnan,)
Bibliographical information (record 269925)
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Blood Cell Identification Using A Simple Neural Network.
Author:
 Khashman, Adnan, Search Author in Amazon Books

Publisher:
World Scientific,
Edition:
 2008.
Classification:
 QA76
URL:
http://library.neu.edu.tr:2048/login?url=http://dx.doi.org/10.1142/S0129065708001671
Detailed notes
    - Classification of blood cell types can be time consuming and susceptible to error due to the different morphological features of the cells. This paper presents a blood cell identification system that simulates a human visual inspection and identification of the three blood cell types. The proposed system uses global pattern averaging to extract cell features, and a neural network to classify the cell type. Two neural networks are investigated and a comparison between these networks is drawn. Experimental results suggest that the proposed system provides fast, simple and efficient identification which can be used in automating laboratory reporting.
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Status
Library
Section
EOL-1731
Item available
NEU Grand LibraryOnline (QA76 .B56 2008)
Online electronic
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