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Found 4 papers, 3 papers with code
Annotated Dataset Creation through General Purpose Language Models for non-English Medical NLP
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervised training in natural language processsing (NLP).
GERNERMED++: Transfer Learning in German Medical NLP
We present a statistical model for German medical natural language processing trained for named entity recognition (NER) as an open, publicly available model.
GERNERMED -- An Open German Medical NER Model
The current state of adoption of well-structured electronic health records and integration of digital methods for storing medical patient data in structured formats can often considered as inferior compared to the use of traditional, unstructured text based patient data documentation.
TOMAAT: volumetric medical image analysis as a cloud service
Deep learning has been recently applied to a multitude of computer vision and medical image analysis problems.
