Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning–based Risk Stratification System Using US Cine-Clip Images-Reference-Cited by-同舟云学术

Toward Reduction in False-Positive Thyroid Nodule Biopsies with a Deep Learning–based Risk Stratification System Using US Cine-Clip Images

Published:2022-05-01 Issue:3 Volume:4 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Yamashita Rikiya¹^ORCID,Kapoor Tara¹^ORCID,Alam Minhaj Nur¹^ORCID,Galimzianova Alfiia¹,Syed Saad Ali¹,Ugur Akdogan Mete¹^ORCID,Alkim Emel¹,Wentland Andrew Louis¹^ORCID,Madhuripan Nikhil¹^ORCID,Goff Daniel¹^ORCID,Barbee Victoria¹,Sheybani Natasha Diba¹^ORCID,Sagreiya Hersh¹,Rubin Daniel L.¹^ORCID,Desser Terry S.¹^ORCID

Affiliation:

1. From the Departments of Biomedical Data Science (R.Y., T.K., M.N.A., A.G., M.U.A., E.A., N.D.S., H.S., D.L.R.) and Radiology (S.A.S., A.L.W., N.M., D.G., V.B., D.L.R., T.S.D.), Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305.

Funder

National Institutes of Health

National Science Foundation

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.210174

Reference31 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. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee