Deep Learning for Natural Language Processing in Radiology-Fundamentals and a Systematic Review.

Journal: Journal of the American College of Radiology : JACR

Published Date: Jan 28, 2020

Abstract

PURPOSE: Natural language processing (NLP) enables conversion of free text into structured data. Recent innovations in deep learning technology provide improved NLP performance. We aimed to survey deep learning NLP fundamentals and review radiology-related research.

Authors

Vera Sorin

Department of Diagnostic Imaging, Chaim Sheba Medical Center, Tel Hashomer, Israel.
Yiftach Barash

Department of Diagnostic Imaging, Chaim Sheba Medical Center, Tel Hashomer, Israel.
Eli Konen
Eyal Klang

Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Keywords

Deep Learning Natural Language Processing Neural Networks, Computer Radiography Radiology

External Resources

View on PubMed Access via DOI PubMed (32004480)

Deep Learning for Natural Language Processing in Radiology-Fundamentals and a Systematic Review.

Abstract

Authors

Keywords

External Resources

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