Title: RadSpeech's mobile dialogue system for radiologists
Abstract: With RadSpeech, we aim to build the next generation of intelligent, scalable, and user-friendly semantic search interfaces for the medical imaging domain, based on semantic technologies. Ontology-based knowledge representation is used not only for the image contents, but also for the complex natural language understanding and dialogue management process. This demo shows a speech-based annotation system for radiology images and focuses on a new and effective way to annotate medical image regions with a specific medical, structured, diagnosis while using speech and pointing gestures on the go.
Publication Year: 2012
Publication Date: 2012-02-14
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 15
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