View in EDS

Natural language processing to convert unstructured COVID-19 chest-CT reports into structured reports.

Saved in:

Bibliographic Details
Title:	Natural language processing to convert unstructured COVID-19 chest-CT reports into structured reports.
Authors:	Fanni SC; Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy., Romei C; Department of Diagnostic Imaging, 2nd Radiology Unit, Pisa University-Hospital, Pisa, Italy., Ferrando G; EBIT sr.l. Esaote Group, Via di Caciolle, Florence, Italy., Volpi F; Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy., D'Amore CA; Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy., Bedini C; EBIT sr.l. Esaote Group, Via Melen 77, Genoa, Italy., Ubbiali S; EBIT sr.l. Esaote Group, Via di Caciolle, Florence, Italy., Valentino S; EBIT sr.l. Esaote Group, Via di Caciolle, Florence, Italy., Neri E; Department of Translational Research, Academic Radiology, University of Pisa, Pisa, Italy.
Source:	European journal of radiology open [Eur J Radiol Open] 2023 Jul 25; Vol. 11, pp. 100512. Date of Electronic Publication: 2023 Jul 25 (Print Publication: 2023).
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101650225 Publication Model: eCollection Cited Medium: Print ISSN: 2352-0477 (Print) Linking ISSN: 23520477 NLM ISO Abbreviation: Eur J Radiol Open Subsets: PubMed not MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2352-0477
DOI:	10.1016/j.ejro.2023.100512