Transformer-based structuring of free-text radiology report databases

OBJECTIVES: To provide insights for on-site development of transformer-based structuring of free-text report databases by investigating different labeling and pre-training strategies. METHODS: A total of 93,368 German chest X-ray reports from 20,912 intensive care unit (ICU) patients were included....

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Detalles Bibliográficos
Autores principales: Nowak, S., Biesner, D., Layer, Y. C., Theis, M., Schneider, H., Block, W., Wulff, B., Attenberger, U. I., Sifa, R., Sprinkart, A. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181962/
https://www.ncbi.nlm.nih.gov/pubmed/36905469
http://dx.doi.org/10.1007/s00330-023-09526-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181962/
https://www.ncbi.nlm.nih.gov/pubmed/36905469
http://dx.doi.org/10.1007/s00330-023-09526-y

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