Bridging the semantic gap for object extraction from biomedical images by classification

Abstract

Extraction of biomedical objects is used for identification counting and measurement in many applications. Here the semantic gap opens between an object description by an expert in natural language and its reproducible representation in a formal language. This requires algorithms and parameters. Key idea to bridge this gap for a range of applications is… (More)

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