Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs-Reference-Cited by-同舟云学术

Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs

Published:2019-02 Issue:2 Volume:290 Page:537-544
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Dunnmon Jared A.¹^ORCID,Yi Darvin¹,Langlotz Curtis P.¹,Ré Christopher¹,Rubin Daniel L.¹^ORCID,Lungren Matthew P.¹

Affiliation:

1. From the Departments of Computer Science (J.A.D., C.R.), Biomedical Data Science (D.Y., D.L.R.), and Radiology (C.P.L., D.L.R., M.P.L.), Stanford University, 300 Pasteur Dr, Stanford, CA 94305.

Funder

Intelligence Community Postdoctoral Research Fellowship Program

National Institutes of Health

National Cancer Institute

Office of Naval Research

Defense Advanced Research Projects Agency

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2018181422

Reference30 articles.

1. Radiologist shortage leaves patient care at risk, warns royal college

2. Improving Patient Safety: Avoiding Unread Imaging Exams in the National VA Enterprise Electronic Health Record

3. Deep learning

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