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doi:10.1016/0031-3203(83)90037-7    
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Copyright © 1983 Published by Elsevier Science B.V.

Classification of normal and abnormal samples of peripheral blood by linear mapping of the feature space

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G. H. Landeweerd, T. Timmers and E. S. GelsemaCorresponding Author Contact Information

M. Bins and M. R. Halie

Free University, Amsterdam, The Netherlands

University of Groningen, The Netherlands


Received 7 January 1983. 
Available online 19 May 2003.

Abstract

A data set of features derived from digitized images of monocytes and lymphocytes taken from samples of normal persons (10 cases) and from persons with either Hodgkin's disease (10 cases) or non-Hodgkin's lymphoma (9 cases) was explored. The morphological characteristics of a small proportion of the cells in the abnormal samples may well provide indications of the abnormality.

A linear mapping of the feature space is described. This technique may be used to visualize the abnormality of the sample and to design a decision rule, applicable to independent test samples.

Author Keywords: Image processing; Pattern analysis; Mapping; Sample classification; Haematology

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Corresponding Author Contact InformationCorresponding author. To whom correspondence should be addressed at: Free University. Department of Medical Informatics, Van der Boechorststraat 7, 1081 BT , Amsterdam, , The Netherlands.


 
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