Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes

M. Han; E.J. Ha; J.H. Park

doi:10.3174/ajnr.A6922

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Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes

M. Han, E.J. Ha and J.H. Park

American Journal of Neuroradiology March 2021, 42 (3) 559-565; DOI: https://doi.org/10.3174/ajnr.A6922

M. Han

aDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea

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E.J. Ha

aDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea

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J.H. Park

aDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea

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vol. 42 no. 3 559-565

DOI

https://doi.org/10.3174/ajnr.A6922

PubMed

33361374

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American Journal of Neuroradiology

Print ISSN

0195-6108

Online ISSN

1936-959X

History

Received February 14, 2020
Accepted after revision September 29, 2020
Published online March 15, 2021.

Author Information

M. Hana,
E.J. Haa and
J.H. Parka

^aDepartment of Radiology, Ajou University School of Medicine, Suwon, Korea

Please address correspondence to Eun Ju Ha, MD, PhD, Department of Radiology, Ajou University School of Medicine, Wonchon-Dong, Yeongtong-Gu, Suwon 443-380, Korea; e-mail: radhej{at}naver.com

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Funding

National Research Foundation of Korea
# 2017R1C1B5016217

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M. Han, E.J. Ha, J.H. Park

Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes

American Journal of Neuroradiology Mar 2021, 42 (3) 559-565; DOI: 10.3174/ajnr.A6922

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Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes

M. Han, E.J. Ha, J.H. Park

American Journal of Neuroradiology Mar 2021, 42 (3) 559-565; DOI: 10.3174/ajnr.A6922

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This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

Artificial Intelligence for Thyroid Nodule Characterization: Where Are We Standing?

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International Journal of Endocrinology 2022 2022
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Ji-Sun Kim, Byung Guk Kim, Gulnaz Stybayeva, Se Hwan Hwang

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Computer-Aided Diagnostic System for Thyroid Nodules on Ultrasonography: Diagnostic Performance Based on the Thyroid Imaging Reporting and Data System Classification and Dichotomous Outcomes

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