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

User: Guest

Document type:: Zeitschriftenaufsatz
Author(s):: 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
Title:: Incidental vertebral fracture prediction using neuronal network-based automatic spine segmentation and volumetric bone mineral density extraction from routine clinical CT scans
Keywords:: Endocrinology ; osteoporosis ; osteoporotic fractures ; bone density ; tomography ; x-ray computed ; artificial intelligence
Journal title:: Frontiers in Endocrinology
Year:: 2023
Journal volume:: 14
Fulltext / DOI:: doi:10.3389/fendo.2023.1207949
Publisher:: Frontiers Media S.A.
E-ISSN:: 1664-2392
Date of publication:: 17.07.2023
CC license:: by, https://creativecommons.org/licenses/by/4.0

BibTeX

Occurrences: