Deep convolutional neural network for classification of thyroid nodules on ultrasound: Comparison of the diagnostic performance with that of radiologists-Reference-Cited by-同舟云学术

Deep convolutional neural network for classification of thyroid nodules on ultrasound: Comparison of the diagnostic performance with that of radiologists

Published:2022-07 Issue: Volume:152 Page:110335
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Kim Yeon-Jae,Choi Yangsean^ORCID,Hur Su-Jin,Park Ki-Sun,Kim Hyun-Jin,Seo Minkook,Lee Min Kyoung,Jung So-Lyung,Jung Chan Kwon

Funder

Kementerian Pendidikan Malaysia

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference29 articles.

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3. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee;Tessler;J. Am. Coll. Radiol.,2017

4. 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;Haugen;Thyroid.,2015

5. Ultrasonography diagnosis and imaging-based management of thyroid nodules: Revised Korean society of thyroid radiology consensus statement and recommendations;Shin;Korean J. Radiol.,2016

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