standards > model/format > DOI:10.25504/FAIRsharing.3nz5cb


ready Annotation and Image Markup

Abbreviation: AIM


General Information
The Annotation and Image Markup project provides a standardized schema for capturing the results of medical imaging exams, primarily radiology, using controlled terminologies/ontologies. AIM captures results in terms of the region within an image in which areas of interest are located, the semantic descriptions of those regions, inferences about them, calculations on them, and quantitative features derived by computer programs run on them. AIM is interoperable with DICOM-SR and HL7-CDA, other standards for image metadata, but it provides unique advantages by providing an explicit semantic model of imaging results.



How to cite this record FAIRsharing.org: AIM; Annotation and Image Markup; DOI: https://doi.org/10.25504/FAIRsharing.3nz5cb; Last edited: March 15, 2018, 11:55 a.m.; Last accessed: Oct 19 2018 9:56 a.m.


This record is maintained by dlrubin

Record updated: March 15, 2018, 11:17 a.m. by The FAIRsharing Team.

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Publications

Medical Imaging on the Semantic Web: Annotation and Image Markup

Rubin DL, Mongkolwat P, Kleper V, Supekar K and Channin DS
AAAI Spring Symposium Series, Semantic Scientific Knowledge Integration 2008


The caBIG annotation and image Markup project

Channin DS, Mongkolwat P, Kleper V, Sepukar K, Rubin DL.
J Digital Imaging 2009

View Paper (PubMed) View Publication

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Terminology Artifacts

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  • This record is maintained by dlrubin

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Grant Number(s)

  • 79596CBS10 (National Institute of Health)