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Automatic Detection and Quantification of WBCs and RBCs Using Iterative Structured Circle Detection Algorithm
المؤلفون المشاركون
Sheikh Abdullah, Siti Norul Huda
Omar, Khairuddin
Alomari, Yazan M.
Zaharatul Azma, Raja
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-04-03
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-513115
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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