Using image mapping towards biomedical and biological data sharing

Image-based data integration in eHealth and life sciences is typically concerned with the method used for anatomical space mapping, needed to retrieve, compare and analyse large volumes of biomedical data. In mapping one image onto another image, a mechanism is used to match and find the correspondi...

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Main Authors: Nurzi Juana, Mohd Zaizi, Dayang Nurfatimah, Awang Iskandar
Format: Article
Language:English
Published: BioMed Central 2013
Subjects:
Online Access:http://ir.unimas.my/id/eprint/16522/1/Nurzi.pdf
http://ir.unimas.my/id/eprint/16522/
https://academic.oup.com/gigascience
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Institution: Universiti Malaysia Sarawak
Language: English
id my.unimas.ir.16522
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spelling my.unimas.ir.165222022-01-25T07:44:27Z http://ir.unimas.my/id/eprint/16522/ Using image mapping towards biomedical and biological data sharing Nurzi Juana, Mohd Zaizi Dayang Nurfatimah, Awang Iskandar R Medicine (General) T Technology (General) Image-based data integration in eHealth and life sciences is typically concerned with the method used for anatomical space mapping, needed to retrieve, compare and analyse large volumes of biomedical data. In mapping one image onto another image, a mechanism is used to match and find the corresponding spatial regions which have the same meaning between the source and the matching image. Image-based data integration is useful for integrating data of various information structures. Here we discuss a broad range of issues related to data integration of various information structures, review exemplary work on image representation and mapping, and discuss the challenges that these techniques may bring. BioMed Central 2013 Article PeerReviewed text en http://ir.unimas.my/id/eprint/16522/1/Nurzi.pdf Nurzi Juana, Mohd Zaizi and Dayang Nurfatimah, Awang Iskandar (2013) Using image mapping towards biomedical and biological data sharing. GigaScience, 2 (1). ISSN 2047-217X https://academic.oup.com/gigascience DOI: 10.1186/2047-217X-2-12
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic R Medicine (General)
T Technology (General)
spellingShingle R Medicine (General)
T Technology (General)
Nurzi Juana, Mohd Zaizi
Dayang Nurfatimah, Awang Iskandar
Using image mapping towards biomedical and biological data sharing
description Image-based data integration in eHealth and life sciences is typically concerned with the method used for anatomical space mapping, needed to retrieve, compare and analyse large volumes of biomedical data. In mapping one image onto another image, a mechanism is used to match and find the corresponding spatial regions which have the same meaning between the source and the matching image. Image-based data integration is useful for integrating data of various information structures. Here we discuss a broad range of issues related to data integration of various information structures, review exemplary work on image representation and mapping, and discuss the challenges that these techniques may bring.
format Article
author Nurzi Juana, Mohd Zaizi
Dayang Nurfatimah, Awang Iskandar
author_facet Nurzi Juana, Mohd Zaizi
Dayang Nurfatimah, Awang Iskandar
author_sort Nurzi Juana, Mohd Zaizi
title Using image mapping towards biomedical and biological data sharing
title_short Using image mapping towards biomedical and biological data sharing
title_full Using image mapping towards biomedical and biological data sharing
title_fullStr Using image mapping towards biomedical and biological data sharing
title_full_unstemmed Using image mapping towards biomedical and biological data sharing
title_sort using image mapping towards biomedical and biological data sharing
publisher BioMed Central
publishDate 2013
url http://ir.unimas.my/id/eprint/16522/1/Nurzi.pdf
http://ir.unimas.my/id/eprint/16522/
https://academic.oup.com/gigascience
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