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Automatic recognition of abdominal lymph nodes from clinical text
2020
Proceedings of the 3rd Clinical Natural Language Processing Workshop
unpublished
Lymph node status plays a pivotal role in the treatment of cancer. The extraction of lymph nodes from radiology text reports enables large-scale training of lymph node detection on MRI. In this work, we first propose an ontology of 41 types of abdominal lymph nodes with a hierarchical relationship. We then introduce an end-to-end approach based on the combination of rules and transformer-based methods to detect these abdominal lymph node mentions and classify their types from the MRI radiology
doi:10.18653/v1/2020.clinicalnlp-1.12
fatcat:4bgwn5epefc7tmwflfzqsdjwee