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Authors
Park, Vivian Y.
Lee, Eunjung
Lee, Hye Sun
Kim, Hye Jung
Yoon, Jiyoung
Son, Jinwoo
Song, Kijun
Moon, Hee Jung
Yoon, Jung Hyun
Kim, Ga Ram
Kwak, Jin Young
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Funding
Funding for this research was provided by:
National Research Foundation of Korea (2019R1A2C1002375)
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Article History
Received: 9 June 2020
Revised: 30 August 2020
Accepted: 1 October 2020
First Online: 9 October 2020
Compliance with ethical standards
:
: The scientific guarantor of this publication is Jin Young Kwak, M.D., PhD.
: The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
: One of the authors (Hye Sun Lee, PhD ) has significant statistical expertise.
: Written informed consent was waived by the Institutional Review Board.
: Institutional Review Board approval was obtained.
: Among our study population, 507 thyroid nodules in 507 patients were included in a previous study which developed and evaluated the performance of a deep learning–based US computer-aided diagnosis system (Reference: Park VY, Han K, Seong YK et al (2019) Diagnosis of Thyroid Nodules: Performance of a deep learning convolutional neural network model vs. radiologists. <i>Sci Rep</i> 9:17843.).
: • retrospective• diagnostic or prognostic study• performed at one institution
