Grammar-Based Lexicon Extension for Aligning German Radiology Text and Images

For efficient diagnosis processes, the multitude of heterogeneous medical data requires seamless integration. In order to automatically align radiology reports and images based on the pathological anatomical entities they describe, a preceding sentence classification is necessary. However, the lexical resource used has to contain semantic information about the pathological classification of each entity. We introduce an approach to extend medical lexical resources with pathology classification information and, at the same time, with new classified vocabulary. Our algorithm is based on a semi-supervised learning algorithm and incorporates a semantic contextfree grammar combined with a RadLexbased lexicon.