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

Author

Ongun, Guclu ; Halici, Ugur ; Leblebicioglu, Kemal ; Atalay, Volkan ; Beksac, Meral ; Beksac, Sinan

Author_Institution

Dept. of Electr. & Electron. Eng., Middle East Tech. Univ., Ankara, Turkey

Volume

4

fYear

2001

fDate

2001

Firstpage

2461

Abstract

The differential blood counter system we 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

Keywords

blood; feature extraction; image colour analysis; image texture; learning (artificial intelligence); medical computing; neural nets; pattern classification; blood cells; color space; differential blood count system; feature extraction; image segmentation; image texture; neural network; pattern classification; support vector machine; Biomedical imaging; Blood; Cells (biology); Computer vision; Counting circuits; Feature extraction; Image segmentation; Neural networks; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-7044-9

Type

conf

DOI

10.1109/IJCNN.2001.938753

Filename

938753