Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs

Structured report data can be used to develop deep learning algorithms: a proof of concept in ankle radiographs

Abstract Background Data used for training of deep learning networks usually needs large amounts of accurate labels. These labels are usually extracted from reports using natural language processing or by time-consuming manual review. The aim of this study was therefore to develop and evaluate a wor...

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Bibliographic Details
Main Authors: Daniel Pinto dos Santos, Sebastian Brodehl, Bettina Baeßler, Gordon Arnhold, Thomas Dratsch, Seung-Hun Chon, Peter Mildenberger, Florian Jungmann
Format: Article
Language:English
Published: SpringerOpen 2019-09-01
Series:Insights into Imaging
Subjects:
Structured reporting
Workflow
Machine learning
Radiography
Ankle fractures
Online Access:http://link.springer.com/article/10.1186/s13244-019-0777-8

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http://link.springer.com/article/10.1186/s13244-019-0777-8

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