Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm
Joint Authors
Sheikh Abdullah, Siti Norul Huda
Omar, Khairuddin
Alomari, Yazan M.
Zaharatul Azma, Raja
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-03
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
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 consuming, and inaccurate process.
Automatic analysis will allow hematologist experts to perform faster and more accurately.
The proposed method uses an iterative structured circle detection algorithm for the segmentation and counting of WBCs and RBCs.
The separation of WBCs from RBCs was achieved by thresholding, and specific preprocessing steps were developed for each cell type.
Counting was performed for each image using the proposed method based on modified circle detection, which automatically counted the cells.
Several modifications were made to the basic (RCD) algorithm to solve the initialization problem, detecting irregular circles (cells), selecting the optimal circle from the candidate circles, determining the number of iterations in a fully dynamic way to enhance algorithm detection, and running time.
The validation method used to determine segmentation accuracy was a quantitative analysis that included Precision, Recall, and F-measurement tests.
The average accuracy of the proposed method was 95.3% for RBCs and 98.4% for WBCs.
American Psychological Association (APA)
Alomari, Yazan M.& Sheikh Abdullah, Siti Norul Huda& Zaharatul Azma, Raja& Omar, Khairuddin. 2014. Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-513115
Modern Language Association (MLA)
Alomari, Yazan M.…[et al.]. Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-17.
https://search.emarefa.net/detail/BIM-513115
American Medical Association (AMA)
Alomari, Yazan M.& Sheikh Abdullah, Siti Norul Huda& Zaharatul Azma, Raja& Omar, Khairuddin. Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-17.
https://search.emarefa.net/detail/BIM-513115
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-513115