Differentiation of benign and malignant vertebral fractures using a convolutional neural network to extract CT-based texture features

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Title:: Differentiation of benign and malignant vertebral fractures using a convolutional neural network to extract CT-based texture features
Document type:: Zeitschriftenaufsatz
Author(s):: Goller, Sophia S. ; Foreman, Sarah C. ; Rischewski, Jon F. ; Weißinger, Jürgen ; Dietrich, Anna-Sophia ; Schinz, David ; Stahl, Robert ; Luitjens, Johanna ; Siller, Sebastian ; Schmidt, Vanessa F. ; Erber, Bernd ; Ricke, Jens ; Liebig, Thomas ; Kirschke, Jan S. ; Dieckmeyer, Michael ; Gersing, Alexandra S.
Keywords:: Original Article ; Automated segmentation ; Texture analysis ; Computed tomography ; Bone microstructure ; Convolutional neural network ; Medical and Health Sciences ; Information and Computing Sciences
Journal title:: European Spine Journal
Year:: 2023
Journal volume:: 32
Journal issue:: 12
Pages contribution:: 4314-4320
Fulltext / DOI:: doi:10.1007/s00586-023-07838-7
Publisher:: Springer Berlin Heidelberg
E-ISSN:: 0940-6719 ; 1432-0932
Date of publication:: 04.07.2023
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