%0 Book Section %1 SonntagZillnerEtAl14p371 %A Sonntag, Daniel %A Zillner, Sonja %A Ernst, Patrick %A Schulz, Christian %A Sintek, Michael %A Dankerl, Peter %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 dfki semantic web image text analysis mobile multimodal user interaction interface assist health zzz.th.c4 %P 371-382 %R 10.1007/978-3-319-06755-1_28 %T Mobile Radiology Interaction and Decision Support Systems of the Future %X Clinical care and research increasingly rely on digitized patient information. There is a growing need to store and organize all patient data, including health records, laboratory reports, and medical images. Medical images have become indispensable for detecting and differentiating pathologies, planning interventions, and monitoring treatments. The effective retrieval of images builds on the semantic annotation of image contents and intelligent interaction with the image material. The semantic annotation of image contents has an automatic and a manual component. In our work, we heavily rely on automatic organ, tissue, and disease detection, which represents one of the main technical research questions in Medico. In this article, however, we will focus on intelligent interaction with the image material, i.e., what mobile radiology interaction and decision support systems of the future, based on automatic detectors, may look like.

@incollection{SonntagZillnerEtAl14p371, abstract = {Clinical care and research increasingly rely on digitized patient information. There is a growing need to store and organize all patient data, including health records, laboratory reports, and medical images. Medical images have become indispensable for detecting and differentiating pathologies, planning interventions, and monitoring treatments. The effective retrieval of images builds on the semantic annotation of image contents and intelligent interaction with the image material. The semantic annotation of image contents has an automatic and a manual component. In our work, we heavily rely on automatic organ, tissue, and disease detection, which represents one of the main technical research questions in Medico. In this article, however, we will focus on intelligent interaction with the image material, i.e., what mobile radiology interaction and decision support systems of the future, based on automatic detectors, may look like.}, added-at = {2015-01-15T08:41:36.000+0100}, address = {Berlin}, author = {Sonntag, Daniel and Zillner, Sonja and Ernst, Patrick and Schulz, Christian and Sintek, Michael and Dankerl, Peter}, biburl = {https://www.bibsonomy.org/bibtex/21078c8d281553b0c6f88989967fc671b/flint63}, booktitle = {Towards the Internet of Services: The {THESEUS} Research Program}, crossref = {WahlsterGrallertEtAl2014}, doi = {10.1007/978-3-319-06755-1_28}, editor = {Wahlster, Wolfgang and Grallert, Hans-Joachim and Wess, Stefan and Friedrich, Hermann and Widenka, Thomas}, file = {Springer for Professionals:2014/SonntagZillnerEtAl14p371.pdf:PDF}, groups = {public}, interhash = {5f821dc309b31e96211421fbcc85b4a0}, intrahash = {1078c8d281553b0c6f88989967fc671b}, keywords = {v1500 springer paper ai dfki semantic web image text analysis mobile multimodal user interaction interface assist health zzz.th.c4}, pages = {371-382}, publisher = {Springer}, timestamp = {2018-04-16T11:55:59.000+0200}, title = {Mobile Radiology Interaction and Decision Support Systems of the Future}, username = {flint63}, year = 2014 }