The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic Anemia

This paper presents a medical application based on digital image processing and Artificial Neural Network (ANN), which can recognize three types of Hereditary Hemolytic Anemia (HHA) that affect the Red Blood Cells (RBCs) and change their shape. Three Feed Forward Back Propagation Learning (FFBBL) Ne...

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Main Authors: Ghayda Al-Talib, Hesham Mohameed
Format: Article
Language:Arabic
Published: Mosul University 2013-03-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_163425_3997c07442da2f74b0d9c0221c7b30e4.pdf
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author Ghayda Al-Talib
Hesham Mohameed
author_facet Ghayda Al-Talib
Hesham Mohameed
author_sort Ghayda Al-Talib
collection DOAJ
description This paper presents a medical application based on digital image processing and Artificial Neural Network (ANN), which can recognize three types of Hereditary Hemolytic Anemia (HHA) that affect the Red Blood Cells (RBCs) and change their shape. Three Feed Forward Back Propagation Learning (FFBBL) Neural Networks are used in hierarchical approach to achieve this goal. The essence of this research is to segment each Red Blood Cell in a separate image and then extract some interesting features from each image in order to present them to the neural networks. The latter will, in turn, take the decision whether the RBC is infected or not. The results showed a recognition rate 92.38 %.
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spelling doaj.art-60e63e40fe03466986644f21feb01fa32022-12-22T00:37:55ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902013-03-01101657810.33899/csmj.2013.163425163425The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic AnemiaGhayda Al-Talib0Hesham Mohameed1College of Computer Sciences and Mathematics University of Mosul, Mosul, IraqCollege of Computer Sciences and Mathematics University of Mosul, Mosul, IraqThis paper presents a medical application based on digital image processing and Artificial Neural Network (ANN), which can recognize three types of Hereditary Hemolytic Anemia (HHA) that affect the Red Blood Cells (RBCs) and change their shape. Three Feed Forward Back Propagation Learning (FFBBL) Neural Networks are used in hierarchical approach to achieve this goal. The essence of this research is to segment each Red Blood Cell in a separate image and then extract some interesting features from each image in order to present them to the neural networks. The latter will, in turn, take the decision whether the RBC is infected or not. The results showed a recognition rate 92.38 %.https://csmj.mosuljournals.com/article_163425_3997c07442da2f74b0d9c0221c7b30e4.pdfhereditary hemolytic anemiared blood cellsnn
spellingShingle Ghayda Al-Talib
Hesham Mohameed
The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic Anemia
Al-Rafidain Journal of Computer Sciences and Mathematics
hereditary hemolytic anemia
red blood cells
nn
title The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic Anemia
title_full The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic Anemia
title_fullStr The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic Anemia
title_full_unstemmed The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic Anemia
title_short The Discrimination of Red Blood Cells Infected by Hereditary Hemolytic Anemia
title_sort discrimination of red blood cells infected by hereditary hemolytic anemia
topic hereditary hemolytic anemia
red blood cells
nn
url https://csmj.mosuljournals.com/article_163425_3997c07442da2f74b0d9c0221c7b30e4.pdf
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