A Scientific Workflow Platform for Generic and Scalable Object Recognition on Medical Images
M. Möller, C. Tuot, and M. Sintek. Bildverarbeitung für die Medizin. Algorithmen, Systeme, Anwendungen, Berlin, Germany, Springer, (April 2008)
Abstract
In the research project THESEUS MEDICO we aim at a system combining medical image information with semantic background knowledge from ontologies to give clinicians fully cross-modal access to biomedical image repositories. Therefore joint efforts have to be made in more than one dimension: Object detection processes have to be specified
in which an abstraction is performed starting from low-level image
features across landmark detection utilizing abstract domain knowledge
up to high-level object recognition. We propose a system based on
a client-server extension of the scientific workflow platform Kepler
that assists the collaboration of medical experts and computer scientists
during development and parameter learning.
%0 Conference Paper
%1 Moeller2008d
%A Möller, Manuel
%A Tuot, Christopher
%A Sintek, Michael
%B Bildverarbeitung für die Medizin. Algorithmen, Systeme, Anwendungen
%C Berlin, Germany
%D 2008
%E Tolxdorff, T.
%E Braun, J.
%E Deserno, T.M.
%E Handels, H.
%E Horsch, A.
%E Meinzer, H.-P.
%I Springer
%J Proc. of BVM2008 Workshop
%K medico
%T A Scientific Workflow Platform for Generic and Scalable Object Recognition on Medical Images
%X In the research project THESEUS MEDICO we aim at a system combining medical image information with semantic background knowledge from ontologies to give clinicians fully cross-modal access to biomedical image repositories. Therefore joint efforts have to be made in more than one dimension: Object detection processes have to be specified
in which an abstraction is performed starting from low-level image
features across landmark detection utilizing abstract domain knowledge
up to high-level object recognition. We propose a system based on
a client-server extension of the scientific workflow platform Kepler
that assists the collaboration of medical experts and computer scientists
during development and parameter learning.
@inproceedings{Moeller2008d,
abstract = {In the research project THESEUS MEDICO we aim at a system combining medical image information with semantic background knowledge from ontologies to give clinicians fully cross-modal access to biomedical image repositories. Therefore joint efforts have to be made in more than one dimension: Object detection processes have to be specified
in which an abstraction is performed starting from low-level image
features across landmark detection utilizing abstract domain knowledge
up to high-level object recognition. We propose a system based on
a client-server extension of the scientific workflow platform Kepler
that assists the collaboration of medical experts and computer scientists
during development and parameter learning.},
added-at = {2010-03-12T13:29:24.000+0100},
address = {Berlin, Germany},
author = {M\"oller, Manuel and Tuot, Christopher and Sintek, Michael},
biburl = {https://www.bibsonomy.org/bibtex/22cf7fb64ef8be7552b67f05fd97d2cd9/manuelm},
booktitle = {Bildverarbeitung für die Medizin. Algorithmen, Systeme, Anwendungen},
editor = {Tolxdorff, T. and Braun, J. and Deserno, T.M. and Handels, H. and Horsch, A. and Meinzer, H.-P.},
interhash = {f99eb796fd5083b2a0d1942a2ebc0a9f},
intrahash = {2cf7fb64ef8be7552b67f05fd97d2cd9},
journal = {Proc. of BVM2008 Workshop},
keywords = {medico},
location = {Berlin},
month = {April},
owner = {moeller},
publisher = {Springer},
timestamp = {2010-03-12T13:29:24.000+0100},
title = {A Scientific Workflow Platform for Generic and Scalable Object Recognition on Medical Images},
year = 2008
}