Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning

BACKGROUND: Extracting metastatic information from previous radiologic-text reports is important, however, laborious annotations have limited the usability of these texts. We developed a deep-learning model for extracting primary lung cancer sites and metastatic lymph nodes and distant metastasis in...

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Detalles Bibliográficos
Autores principales: Park, Hyung Jun, Park, Namu, Lee, Jang Ho, Choi, Myeong Geun, Ryu, Jin-Sook, Song, Min, Choi, Chang-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438247/
https://www.ncbi.nlm.nih.gov/pubmed/36050674
http://dx.doi.org/10.1186/s12911-022-01975-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438247/
https://www.ncbi.nlm.nih.gov/pubmed/36050674
http://dx.doi.org/10.1186/s12911-022-01975-7

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