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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Format: | Article |
Language: | Arabic |
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Mosul University
2013-03-01
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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 %. |
first_indexed | 2024-12-12T04:36:53Z |
format | Article |
id | doaj.art-60e63e40fe03466986644f21feb01fa3 |
institution | Directory Open Access Journal |
issn | 1815-4816 2311-7990 |
language | Arabic |
last_indexed | 2024-12-12T04:36:53Z |
publishDate | 2013-03-01 |
publisher | Mosul University |
record_format | Article |
series | Al-Rafidain Journal of Computer Sciences and Mathematics |
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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