Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists

G.R. Kim; E. Lee; H.R. Kim; J.H. Yoon; V.Y. Park; J.Y. Kwak

doi:10.3174/ajnr.A7149

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Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists

G.R. Kim, E. Lee, H.R. Kim, J.H. Yoon, V.Y. Park and J.Y. Kwak

American Journal of Neuroradiology August 2021, 42 (8) 1513-1519; DOI: https://doi.org/10.3174/ajnr.A7149

G.R. Kim

aFrom the Department of Radiology (G.R.K., J.H.Y., V.Y.P., J.Y.K.), Severance Hospital, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea

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E. Lee

bDepartment of Computational Science and Engineering (E.L.), Yonsei University, Seoul, Korea

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H.R. Kim

cBiostatistics Collaboration Unit (H.R.K.), Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea

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J.H. Yoon

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V.Y. Park

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J.Y. Kwak

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G.R. Kim, E. Lee, H.R. Kim, J.H. Yoon, V.Y. Park, J.Y. Kwak

Convolutional Neural Network to Stratify the Malignancy Risk of Thyroid Nodules: Diagnostic Performance Compared with the American College of Radiology Thyroid Imaging Reporting and Data System Implemented by Experienced Radiologists

American Journal of Neuroradiology Aug 2021, 42 (8) 1513-1519; DOI: 10.3174/ajnr.A7149

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G.R. Kim, E. Lee, H.R. Kim, J.H. Yoon, V.Y. Park, J.Y. Kwak

American Journal of Neuroradiology Aug 2021, 42 (8) 1513-1519; DOI: 10.3174/ajnr.A7149

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