Title |
Using image mapping towards biomedical and biological data sharing
|
---|---|
Published in |
Giga Science, September 2013
|
DOI | 10.1186/2047-217x-2-12 |
Pubmed ID | |
Authors |
Nurzi Juana Mohd Zaizi, Dayang Nurfatimah Awang Iskandar |
Abstract |
: 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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China | 1 | 50% |
Hong Kong | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Hong Kong | 2 | 11% |
Unknown | 17 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 26% |
Other | 4 | 21% |
Student > Ph. D. Student | 4 | 21% |
Lecturer | 1 | 5% |
Lecturer > Senior Lecturer | 1 | 5% |
Other | 3 | 16% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
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Computer Science | 5 | 26% |
Agricultural and Biological Sciences | 4 | 21% |
Linguistics | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Psychology | 1 | 5% |
Other | 3 | 16% |
Unknown | 4 | 21% |