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The effect of deep learning-based lesion segmentation on failure load calculations of metastatic femurs using finite element analysis.

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Title: The effect of deep learning-based lesion segmentation on failure load calculations of metastatic femurs using finite element analysis.
Authors: Ataei A; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands. Electronic address: Ali.Ataei@radboudumc.nl., Eggermont F; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands., Verdonschot N; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands; Laboratory for Biomechanical Engineering, University of Twente, Enschede, the Netherlands., Lessmann N; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud university medical center, Nijmegen, the Netherlands., Tanck E; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands.
Source: Bone [Bone] 2024 Feb; Vol. 179, pp. 116987. Date of Electronic Publication: 2023 Dec 05.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 8504048 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2763 (Electronic) Linking ISSN: 18732763 NLM ISO Abbreviation: Bone Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ataei+A%22">Ataei A</searchLink>; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands. Electronic address: Ali.Ataei@radboudumc.nl.<br /><searchLink fieldCode="AU" term="%22Eggermont+F%22">Eggermont F</searchLink>; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Verdonschot+N%22">Verdonschot N</searchLink>; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands; Laboratory for Biomechanical Engineering, University of Twente, Enschede, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Lessmann+N%22">Lessmann N</searchLink>; Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud university medical center, Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Tanck+E%22">Tanck E</searchLink>; Orthopaedic Research Lab, Radboud university medical center, P.O. Box 9101, 6500, HB, Nijmegen, the Netherlands.
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  Data: <searchLink fieldCode="JN" term="%228504048%22">Bone</searchLink> [Bone] 2024 Feb; Vol. 179, pp. 116987. <i>Date of Electronic Publication: </i>2023 Dec 05.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8504048 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-2763 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218732763%22">18732763 </searchLink><i>NLM ISO Abbreviation: </i>Bone <i>Subsets: </i>MEDLINE
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        Value: 10.1016/j.bone.2023.116987
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        Text: English
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              Text: 2024 Feb
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