Automatic extraction of imaging observation and assessment categories from breast magnetic resonance imaging reports with natural language processing

BACKGROUND: Structured reports are not widely used and thus most reports exist in the form of free text. The process of data extraction by experts is time-consuming and error-prone, whereas data extraction by natural language processing (NLP) is a potential solution that could improve diagnosis effi...

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Detalles Bibliográficos
Autores principales: Liu, Yi, Zhu, Li-Na, Liu, Qing, Han, Chao, Zhang, Xiao-Dong, Wang, Xiao-Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759110/
https://www.ncbi.nlm.nih.gov/pubmed/31268905
http://dx.doi.org/10.1097/CM9.0000000000000301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6759110/
https://www.ncbi.nlm.nih.gov/pubmed/31268905
http://dx.doi.org/10.1097/CM9.0000000000000301

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