Consistency and Standardization of Color in Medical Imaging: a Consensus Report View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-02

AUTHORS

Aldo Badano, Craig Revie, Andrew Casertano, Wei-Chung Cheng, Phil Green, Tom Kimpe, Elizabeth Krupinski, Christye Sisson, Stein Skrøvseth, Darren Treanor, Paul Boynton, David Clunie, Michael J. Flynn, Tatsuo Heki, Stephen Hewitt, Hiroyuki Homma, Andy Masia, Takashi Matsui, Balázs Nagy, Masahiro Nishibori, John Penczek, Thomas Schopf, Yukako Yagi, Hideto Yokoi

ABSTRACT

This article summarizes the consensus reached at the Summit on Color in Medical Imaging held at the Food and Drug Administration (FDA) on May 8-9, 2013, co-sponsored by the FDA and ICC (International Color Consortium). The purpose of the meeting was to gather information on how color is currently handled by medical imaging systems to identify areas where there is a need for improvement, to define objective requirements, and to facilitate consensus development of best practices. Participants were asked to identify areas of concern and unmet needs. This summary documents the topics that were discussed at the meeting and recommendations that were made by the participants. Key areas identified where improvements in color would provide immediate tangible benefits were those of digital microscopy, telemedicine, medical photography (particularly ophthalmic and dental photography), and display calibration. Work in these and other related areas has been started within several professional groups, including the creation of the ICC Medical Imaging Working Group. More... »

PAGES

41-52

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10278-014-9721-0

DOI

http://dx.doi.org/10.1007/s10278-014-9721-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019435804

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25005868


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10278-014-9721-0'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10278-014-9721-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10278-014-9721-0'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10278-014-9721-0'


 

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