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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleAdult Brain
Open Access

Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images

I. Shin, H. Kim, S.S. Ahn, B. Sohn, S. Bae, J.E. Park, H.S. Kim and S.-K. Lee
American Journal of Neuroradiology March 2021, DOI: https://doi.org/10.3174/ajnr.A7003
I. Shin
aFrom the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (I.S., H.K., S.S.A., B.S., S.-K.L.), Yonsei University College of Medicine, Seoul, Korea
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H. Kim
aFrom the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (I.S., H.K., S.S.A., B.S., S.-K.L.), Yonsei University College of Medicine, Seoul, Korea
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S.S. Ahn
aFrom the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (I.S., H.K., S.S.A., B.S., S.-K.L.), Yonsei University College of Medicine, Seoul, Korea
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B. Sohn
aFrom the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (I.S., H.K., S.S.A., B.S., S.-K.L.), Yonsei University College of Medicine, Seoul, Korea
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S. Bae
bDepartment of Radiology (S.B.), National Health Insurance Corporation Ilsan Hospital, Goyang, Korea
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J.E. Park
cDepartment of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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H.S. Kim
cDepartment of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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S.-K. Lee
aFrom the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (I.S., H.K., S.S.A., B.S., S.-K.L.), Yonsei University College of Medicine, Seoul, Korea
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Article Information

DOI 
https://doi.org/10.3174/ajnr.A7003
PubMed 
33737268

Published By 
American Journal of Neuroradiology
Print ISSN 
0195-6108
Online ISSN 
1936-959X
History 
  • Received June 12, 2020
  • Accepted after revision November 13, 2020
  • Published online March 18, 2021.

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  • You are currently viewing a Latest version of this article (March 18, 2021 - 06:58).
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Copyright & Usage 
© 2021 by American Journal of Neuroradiology Indicates open access to non-subscribers at www.ajnr.org

Author Information

  1. I. Shina,
  2. H. Kima,
  3. S.S. Ahna,
  4. B. Sohna,
  5. S. Baeb,
  6. J.E. Parkc,
  7. H.S. Kimc and
  8. S.-K. Leea
  1. aFrom the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science (I.S., H.K., S.S.A., B.S., S.-K.L.), Yonsei University College of Medicine, Seoul, Korea
  2. bDepartment of Radiology (S.B.), National Health Insurance Corporation Ilsan Hospital, Goyang, Korea
  3. cDepartment of Radiology and Research Institute of Radiology (J.E.P., H.S.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
  1. Please address correspondence to Sung Soo Ahn, MD, PhD, Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University, College of Medicine, 50 Yonsei-ro, Seodaemun-gu, 03722 Seoul, Korea; e-mail: sungsoo{at}yuhs.ac
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Funding

  • National Research Foundation of Korea

    2017R1D1A1B03030440

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I. Shin, H. Kim, S.S. Ahn, B. Sohn, S. Bae, J.E. Park, H.S. Kim, S.-K. Lee
Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images
American Journal of Neuroradiology Mar 2021, DOI: 10.3174/ajnr.A7003

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Development and Validation of a Deep Learning–Based Model to Distinguish Glioblastoma from Solitary Brain Metastasis Using Conventional MR Images
I. Shin, H. Kim, S.S. Ahn, B. Sohn, S. Bae, J.E. Park, H.S. Kim, S.-K. Lee
American Journal of Neuroradiology Mar 2021, DOI: 10.3174/ajnr.A7003
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