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Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR
Author(s) -
M. Gillot,
B. Baquero,
Cong Hieu Le,
R. Deleat-Besson,
J. Bianchi,
A. Ruellas,
M. Gurgel,
M. Yatabe,
N. Al Turkestani,
K. Najarian,
R. Soroushmehr,
S. Pieper,
R. Kikinis,
B. Paniagua,
J. Gryak,
M. Ioshida,
C. Massaro,
L. Gomes,
H. Oh,
K. Evangelista,
C.M.C. Junior,
D. Garib,
Felipe do Nascimento Costa,
E. Benavides,
F. Soki,
J.-C. Fillion-Robin,
H. Joshi,
L. Cevidanes,
J.C. Prieto
Publication year - 2022
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/7gq4-9f22
Subject(s) - cone beam computed tomography , computed tomography , segmentation , skull , tomography , nuclear medicine , medicine , radiology , artificial intelligence , computer science , anatomy

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