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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Meziane, Farid
University of Derby
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (4/4 displayed)
- 2024Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization
- 2023The Impact of Arabic Diacritization on Word Embeddingscitations
- 2021Natural Language Processing and Information Systems; 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23–25, 2021, Proceedingscitations
- 2015An architecture to support ultrasound report generation and standardisation
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document
An architecture to support ultrasound report generation and standardisation
Abstract
Ultrasound reports are developed in different ways by clinicians and radiologists.These variations inreporting style, content and format could impact on the value of the report and the way it is interpreted,which in turn have implications on patient management and decision making. There are many reasons forthe poor success rate of some reporting systems which is usually down to poor adaptability and the mainone being the human factor. In this paper, we present a system architecture model for a proposed medicalultrasound reporting system that attempt to address some of these problems. In this system, we propose asolution where humans will not need to adapt to the system, instead the system acknowledge the variousstyles, contents and format being produced by the humans and uses an ontology to standardise theterminology and Natural Language Processing techniques to transform free text reports to the preferredproposed model of a structured and standardised report.