Research ArticleHead and Neck Imaging
Open Access
Clinical Validation and Extension of an Automated, Deep Learning–Based Algorithm for Quantitative Sinus CT Analysis
C.J. Massey, L. Ramos, D.M. Beswick, V.R. Ramakrishnan and S.M. Humphries
American Journal of Neuroradiology September 2022, 43 (9) 1318-1324; DOI: https://doi.org/10.3174/ajnr.A7616
C.J. Massey
aFrom the Department of Otolaryngology-Head and Neck Surgery (C.J.M., L.R., V.R.R.), University of Colorado School of Medicine, Aurora, Colorado
L. Ramos
aFrom the Department of Otolaryngology-Head and Neck Surgery (C.J.M., L.R., V.R.R.), University of Colorado School of Medicine, Aurora, Colorado
D.M. Beswick
bDepartment of Otolaryngology–Head and Neck Surgery (D.M.B.), University of California–Los Angeles School of Medicine, Los Angeles, California
V.R. Ramakrishnan
aFrom the Department of Otolaryngology-Head and Neck Surgery (C.J.M., L.R., V.R.R.), University of Colorado School of Medicine, Aurora, Colorado
S.M. Humphries
cQuantitative Imaging Laboratory (S.M.H.), Department of Radiology, National Jewish Health, Denver, Colorado

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In this issue
American Journal of Neuroradiology
Vol. 43, Issue 9
1 Sep 2022
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C.J. Massey, L. Ramos, D.M. Beswick, V.R. Ramakrishnan, S.M. Humphries
Clinical Validation and Extension of an Automated, Deep Learning–Based Algorithm for Quantitative Sinus CT Analysis
American Journal of Neuroradiology Sep 2022, 43 (9) 1318-1324; DOI: 10.3174/ajnr.A7616
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