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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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Detalles Bibliográficos
Autores principales: Mohd Zaizi, Nurzi Juana, Awang Iskandar, Dayang Nurfatimah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852063/
https://www.ncbi.nlm.nih.gov/pubmed/24059352
http://dx.doi.org/10.1186/2047-217X-2-12
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author Mohd Zaizi, Nurzi Juana
Awang Iskandar, Dayang Nurfatimah
author_facet Mohd Zaizi, Nurzi Juana
Awang Iskandar, Dayang Nurfatimah
author_sort Mohd Zaizi, Nurzi Juana
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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.
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spelling pubmed-38520632013-12-20 Using image mapping towards biomedical and biological data sharing Mohd Zaizi, Nurzi Juana Awang Iskandar, Dayang Nurfatimah Gigascience Review 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 2013-09-23 /pmc/articles/PMC3852063/ /pubmed/24059352 http://dx.doi.org/10.1186/2047-217X-2-12 Text en Copyright © 2013 Zaizi and Iskandar; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Mohd Zaizi, Nurzi Juana
Awang Iskandar, Dayang Nurfatimah
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 Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852063/
https://www.ncbi.nlm.nih.gov/pubmed/24059352
http://dx.doi.org/10.1186/2047-217X-2-12
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