Computer aided medical diagnosis for the identification of Malaria parasites

Interest in digital image processing methods stems from two principal application areas which comprises of improvements in pictorial information for human interpretation. This paper presents one of the applications of digital image processing in artificial intelligence particularly in the field of m...

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Main Authors:	Toha, Siti Fauziah, Ngah, Umi Kalthom
Format:	Conference or Workshop Item
Language:	English
Published:	2007
Subjects:	T173.2 Technological change
Online Access:	http://irep.iium.edu.my/7131/ http://irep.iium.edu.my/7131/ http://irep.iium.edu.my/7131/ http://irep.iium.edu.my/7131/1/Siti_ICSCN_Malaria_2007.pdf

id	iium-7131
recordtype	eprints
spelling	iium-71312013-06-17T01:11:45Z http://irep.iium.edu.my/7131/ Computer aided medical diagnosis for the identification of Malaria parasites Toha, Siti Fauziah Ngah, Umi Kalthom T173.2 Technological change Interest in digital image processing methods stems from two principal application areas which comprises of improvements in pictorial information for human interpretation. This paper presents one of the applications of digital image processing in artificial intelligence particularly in the field of medical diagnosis system. Currently in Malaysia the traditional method for the identification of Malaria parasites requires a trained technologist to manually examine and detect the number of the parasites subsequently by reading the slides. This is a very time consuming process, causes operator fatigue and is prone to human errors and inconsistency. An automated system is therefore needed to complete as much work as possible for the identification of Malaria parasites. Digitized microscopic images of thin blood smear specimens are used in this project. The endeavor is to develop a software where the end user can use a computer aided medical diagnosis system via graphical user interface whereby the number of existed Malaria parasites will be counted. The technique used is Digital Image Processing whilst the main programming language used is C++ programming which permits portability of the program so as to provide easy future software expansion. The integration both soft computing tools in this project has been successfully designed with the capability to improve the quality of the image, analyze and classify the image as well as calculating the number of Malaria parasites. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/7131/1/Siti_ICSCN_Malaria_2007.pdf Toha, Siti Fauziah and Ngah, Umi Kalthom (2007) Computer aided medical diagnosis for the identification of Malaria parasites. In: International Conference on Signal Processing, Communications and Networking (ICSCN '07), 22-24 February 2007, Chennai, India. http://dx.doi.org/10.1109/ICSCN.2007.350655 doi:10.1109/ICSCN.2007.350655
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T173.2 Technological change
spellingShingle	T173.2 Technological change Toha, Siti Fauziah Ngah, Umi Kalthom Computer aided medical diagnosis for the identification of Malaria parasites
description	Interest in digital image processing methods stems from two principal application areas which comprises of improvements in pictorial information for human interpretation. This paper presents one of the applications of digital image processing in artificial intelligence particularly in the field of medical diagnosis system. Currently in Malaysia the traditional method for the identification of Malaria parasites requires a trained technologist to manually examine and detect the number of the parasites subsequently by reading the slides. This is a very time consuming process, causes operator fatigue and is prone to human errors and inconsistency. An automated system is therefore needed to complete as much work as possible for the identification of Malaria parasites. Digitized microscopic images of thin blood smear specimens are used in this project. The endeavor is to develop a software where the end user can use a computer aided medical diagnosis system via graphical user interface whereby the number of existed Malaria parasites will be counted. The technique used is Digital Image Processing whilst the main programming language used is C++ programming which permits portability of the program so as to provide easy future software expansion. The integration both soft computing tools in this project has been successfully designed with the capability to improve the quality of the image, analyze and classify the image as well as calculating the number of Malaria parasites.
format	Conference or Workshop Item
author	Toha, Siti Fauziah Ngah, Umi Kalthom
author_facet	Toha, Siti Fauziah Ngah, Umi Kalthom
author_sort	Toha, Siti Fauziah
title	Computer aided medical diagnosis for the identification of Malaria parasites
title_short	Computer aided medical diagnosis for the identification of Malaria parasites
title_full	Computer aided medical diagnosis for the identification of Malaria parasites
title_fullStr	Computer aided medical diagnosis for the identification of Malaria parasites
title_full_unstemmed	Computer aided medical diagnosis for the identification of Malaria parasites
title_sort	computer aided medical diagnosis for the identification of malaria parasites
publishDate	2007
url	http://irep.iium.edu.my/7131/ http://irep.iium.edu.my/7131/ http://irep.iium.edu.my/7131/ http://irep.iium.edu.my/7131/1/Siti_ICSCN_Malaria_2007.pdf
first_indexed	2023-09-18T20:16:25Z
last_indexed	2023-09-18T20:16:25Z
_version_	1777407817700868096

Computer aided medical diagnosis for the identification of Malaria parasites

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