Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists-Reference-Cited by-同舟云学术

Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists

Published:2019-09 Issue:3 Volume:292 Page:695-701
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Buda Mateusz¹^ORCID,Wildman-Tobriner Benjamin¹^ORCID,Hoang Jenny K.¹^ORCID,Thayer David¹^ORCID,Tessler Franklin N.¹^ORCID,Middleton William D.¹,Mazurowski Maciej A.¹^ORCID

Affiliation:

1. From the Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC 27705 (M.B., B.W.T., J.K.H., M.A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (D.T., W.D.M.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (F.N.T.); and Department of Electrical and Computer Engineering, Duke University, Durham, NC (M.A.M.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2019181343

Reference22 articles.

1. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer

2. Interobserver Variability of Sonographic Features Used in the American College of Radiology Thyroid Imaging Reporting and Data System

3. Worldwide Thyroid-Cancer Epidemic? The Increasing Impact of Overdiagnosis

4. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee

5. Reduction in Thyroid Nodule Biopsies and Improved Accuracy with American College of Radiology Thyroid Imaging Reporting and Data System

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