Biomedical imaging ontologies: A survey and proposal for future work.
Biomedical imaging ontologies: A survey and proposal for future work.
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DOI：
10.4103/2153-3539.159214
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发表时间：
2015
影响因子：
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通讯作者：
Gurcan M
中科院分区：
文献类型：
--
作者：
Smith B;Arabandi S;Brochhausen M;Calhoun M;Ciccarese P;Doyle S;Gibaud B;Goldberg I;Kahn CE Jr;Overton J;Tomaszewski J;Gurcan M
Ontology is one strategy for promoting interoperability of heterogeneous data through consistent tagging. An ontology is a controlled structured vocabulary consisting of general terms (such as “cell” or “image” or “tissue” or “microscope”) that form the basis for such tagging. These terms are designed to represent the types of entities in the domain of reality that the ontology has been devised to capture; the terms are provided with logical definitions thereby also supporting reasoning over the tagged data. This paper provides a survey of the biomedical imaging ontologies that have been developed thus far. It outlines the challenges, particularly faced by ontologies in the fields of histopathological imaging and image analysis, and suggests a strategy for addressing these challenges in the example domain of quantitative histopathology imaging. The ultimate goal is to support the multiscale understanding of disease that comes from using interoperable ontologies to integrate imaging data with clinical and genomics data.
