Research ArticleAdult Brain
Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA
B. Sohn, K.-Y. Park, J. Choi, J.H. Koo, K. Han, B. Joo, S.Y. Won, J. Cha, H.S. Choi and S.-K. Lee
American Journal of Neuroradiology October 2021, 42 (10) 1769-1775; DOI: https://doi.org/10.3174/ajnr.A7242
B. Sohn
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
K.-Y. Park
bDepartment of Neurosurgery (K.-Y.P.), Yonsei University College of Medicine, Seoul, South Korea
J. Choi
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
cDepartment of Neurology (J.C.), Yonsei University College of Medicine, Seoul, South Korea
dDepartment of Neurology (J.C.), Seoul Medical Center, Seoul, South Korea
J.H. Koo
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
K. Han
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
B. Joo
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
S.Y. Won
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
J. Cha
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
H.S. Choi
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
eDepartment of Radiology (H.S.C.), Seoul Medical Center, Seoul, South Korea
S.-K. Lee
aFrom the Department of Radiology (B.S., J.C., J.H.K., K.H., B.J., S.Y.W., J.C., H.S.C., S.-K.L.), Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
In this issue
American Journal of Neuroradiology
Vol. 42, Issue 10
1 Oct 2021
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B. Sohn, K.-Y. Park, J. Choi, J.H. Koo, K. Han, B. Joo, S.Y. Won, J. Cha, H.S. Choi, S.-K. Lee
Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA
American Journal of Neuroradiology Oct 2021, 42 (10) 1769-1775; DOI: 10.3174/ajnr.A7242
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