Mobile Radiology Interaction and Decision Support Systems of the Future
| Autor: | Daniel Sonntag, Peter Dankerl, Patrick Ernst, Sonja Zillner, Christian Schulz, Michael Sintek |
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| Rok vydání: | 2014 |
| Předmět: |
Focus (computing)
Decision support system Engineering medicine.medical_specialty Semantic annotation business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Intelligent decision support system Patient data computer.software_genre Automatic image annotation Component (UML) medicine Radiology Dialog system business computer |
| Zdroj: | Towards the Internet of Services: The THESEUS Research Program ISBN: 9783319067544 Towards the Internet of Services |
| DOI: | 10.1007/978-3-319-06755-1_28 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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