Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm

Segmentation and counting of blood cells are considered as an important step that helps to extract features to diagnose some specific diseases like malaria or leukemia. The manual counting of white blood cells (WBCs) and red blood cells (RBCs) in microscopic images is an extremely tedious, time cons...

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Bibliographic Details

Published in:	Computational and mathematical methods in medicine Vol. 2014; no. 2014; pp. 1 - 17
Main Authors:	Alomari, Yazan M., Sheikh Abdullah, Siti Norul Huda, Zaharatul Azma, Raja, Omar, Khairuddin
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Puplishing Corporation 01.01.2014 Hindawi Publishing Corporation
Subjects:	Algorithms Blood Cell Count Computer Simulation Erythrocytes - cytology Humans Image Processing, Computer-Assisted Leukocytes - cytology Microscopy - methods Regression Analysis Reproducibility of Results Software
ISSN:	1748-670X, 1748-6718, 1748-6718
Online Access:	Get full text
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