RadSpeech's mobile dialogue system for radiologists

Daniel Sonntag, Christian Schulz, Christian Reuschling, Luis Galárraga
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引用次数: 16

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.
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RadSpeech的放射科医生移动对话系统
通过RadSpeech,我们的目标是基于语义技术,为医学成像领域构建下一代智能、可扩展和用户友好的语义搜索界面。基于本体的知识表示不仅适用于图像内容,而且适用于复杂的自然语言理解和对话管理过程。本演示展示了一个基于语音的放射图像注释系统,并重点介绍了一种新的有效方法,在使用语音和指向手势的同时,对具有特定医学、结构化诊断的医学图像区域进行注释。
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