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...

Full description

Bibliographic Details
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/
http://ir.unimas.my/id/eprint/16522/1/Nurzi.pdf
_version_ 1848838080057835520
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
building UNIMAS Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T06:49:52Z
format Article
id unimas-16522
institution Universiti Malaysia Sarawak
institution_category Local University
language English
last_indexed 2025-11-15T06:49:52Z
publishDate 2013
publisher BioMed Central
recordtype eprints
repository_type Digital Repository
spelling unimas-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
spellingShingle R Medicine (General)
T Technology (General)
Nurzi Juana, Mohd Zaizi
Dayang Nurfatimah, Awang Iskandar
Using image mapping towards biomedical and biological data sharing
title 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_short Using image mapping towards biomedical and biological data sharing
title_sort using image mapping towards biomedical and biological data sharing
topic R Medicine (General)
T Technology (General)
url http://ir.unimas.my/id/eprint/16522/
http://ir.unimas.my/id/eprint/16522/
http://ir.unimas.my/id/eprint/16522/
http://ir.unimas.my/id/eprint/16522/1/Nurzi.pdf