Title :
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
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;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.938753
