Medical images increase in quality and quantity: More and more detailed image content can be represented on the pixel level, and increasing amounts of medical images are produced in the context of clinical diagnosis. Technological solutions are needed to enhance existing clinical IT solutions helping clinicians to access and use medical images optimally. Within Medico, we developed methods and tools (a) to parse and describe the content of medical images, (b) to extract and annotate the related information from radiology reports, and (c) to provide and manage medical ontologies as a common language for labeling and integrating the various information entities.
%0 Book Section
%1 ZillnerSeifert14p343
%A Zillner, Sonja
%A Seifert, Sascha
%A Erdt, Marius
%A Daumke, Philipp
%A Kramer, Martin
%B Towards the Internet of Services: The THESEUS Research Program
%C Berlin
%D 2014
%E Wahlster, Wolfgang
%E Grallert, Hans-Joachim
%E Wess, Stefan
%E Friedrich, Hermann
%E Widenka, Thomas
%I Springer
%K v1500 springer paper ai semantic web knowledge text language processing image recognition analysis information retrieval health zzz.th zzz.sw
%P 343-356
%R 10.1007/978-3-319-06755-1_26
%T Semantic Processing of Medical Data
%X Medical images increase in quality and quantity: More and more detailed image content can be represented on the pixel level, and increasing amounts of medical images are produced in the context of clinical diagnosis. Technological solutions are needed to enhance existing clinical IT solutions helping clinicians to access and use medical images optimally. Within Medico, we developed methods and tools (a) to parse and describe the content of medical images, (b) to extract and annotate the related information from radiology reports, and (c) to provide and manage medical ontologies as a common language for labeling and integrating the various information entities.
@incollection{ZillnerSeifert14p343,
abstract = {Medical images increase in quality and quantity: More and more detailed image content can be represented on the pixel level, and increasing amounts of medical images are produced in the context of clinical diagnosis. Technological solutions are needed to enhance existing clinical IT solutions helping clinicians to access and use medical images optimally. Within Medico, we developed methods and tools (a) to parse and describe the content of medical images, (b) to extract and annotate the related information from radiology reports, and (c) to provide and manage medical ontologies as a common language for labeling and integrating the various information entities.},
added-at = {2015-01-15T08:41:38.000+0100},
address = {Berlin},
author = {Zillner, Sonja and Seifert, Sascha and Erdt, Marius and Daumke, Philipp and Kramer, Martin},
biburl = {https://www.bibsonomy.org/bibtex/2405f7fe5ddcadc1d7eba49c39038f517/flint63},
booktitle = {Towards the Internet of Services: The {THESEUS} Research Program},
crossref = {WahlsterGrallertEtAl2014},
doi = {10.1007/978-3-319-06755-1_26},
editor = {Wahlster, Wolfgang and Grallert, Hans-Joachim and Wess, Stefan and Friedrich, Hermann and Widenka, Thomas},
file = {Springer for Professionals:2014/ZillnerSeifert14p343.pdf:PDF},
groups = {public},
interhash = {d00b7879b8267534948940f69f46cbe2},
intrahash = {405f7fe5ddcadc1d7eba49c39038f517},
keywords = {v1500 springer paper ai semantic web knowledge text language processing image recognition analysis information retrieval health zzz.th zzz.sw},
pages = {343-356},
publisher = {Springer},
timestamp = {2018-04-16T11:49:38.000+0200},
title = {Semantic Processing of Medical Data},
username = {flint63},
year = 2014
}