Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Bodden, Jannis ; Dieckmeyer, Michael ; Sollmann, Nico ; Burian, Egon ; Rühling, Sebastian ; Löffler, Maximilian T. ; Sekuboyina, Anjany ; El Husseini, Malek ; Zimmer, Claus ; Kirschke, Jan S. ; Baum, Thomas
Titel:: Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans
Stichworte:: Endocrinology ; osteoporosis ; osteoporotic fractures ; bone density ; tomography ; x-ray computed ; artificial intelligence
Zeitschriftentitel:: Frontiers in Endocrinology
Jahr:: 2023
Band / Volume:: 14
Volltext / DOI:: doi:10.3389/fendo.2023.1207949
Verlag / Institution:: Frontiers Media S.A.
E-ISSN:: 1664-2392
Publikationsdatum:: 17.07.2023
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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