T-staging pulmonary oncology from radiological reports using natural language processing: translating into a multi-language setting

T-staging pulmonary oncology from radiological reports using natural language processing: translating into a multi-language setting

Abstract Background In the era of datafication, it is important that medical data are accurate and structured for multiple applications. Especially data for oncological staging need to be accurate to stage and treat a patient, as well as population-level surveillance and outcome assessment. To suppo...

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Bibliographic Details
Main Authors: J. Martijn Nobel, Sander Puts, Jakob Weiss, Hugo J. W. L. Aerts, Raymond H. Mak, Simon G. F. Robben, André L. A. J. Dekker
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:Insights into Imaging
Subjects:
Radiology
Reporting
Natural language processing
Free-text
Classification system
Online Access:https://doi.org/10.1186/s13244-021-01018-1

Internet

https://doi.org/10.1186/s13244-021-01018-1

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