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The aim of this work is to develop and validate an automatic annotation tool for the detection and bone localization of scaphoid fractures in radiology reports. To achieve this goal,… Click to show full abstract
The aim of this work is to develop and validate an automatic annotation tool for the detection and bone localization of scaphoid fractures in radiology reports. To achieve this goal, a rule-based method using a Natural Language Processing (NLP) tool was applied. Finite state automata were constructed to detect, classify and annotate reports. An evaluation of the method on a manually annotated dataset has shown 96,8% of total match.
Keywords:
detection;
tool support;
tool;
annotation tool;
automatic annotation
Journal Title: Studies in health technology and informatics
Year Published: 2018
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Journal Title: Studies in health technology and informatics
Year Published: 2018
Link to full text (if available)
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recommendations!