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Automatic Planning Tools for Lumbar Pedicle Screws: Comparison and Validation of Planning Accuracy for Self-Derived Deep-Learning-Based and Commercial Atlas-Based Approaches
Background: This ex vivo experimental study sought to compare screw planning accuracy of a self-derived deep-learning-based (DL) and a commercial atlas-based (ATL) tool and to assess robustness towards pathologic spinal anatomy. Methods: From a consecutive registry, 50 cases (256 screws in L1-L5) we...
Autores principales: | Scherer, Moritz, Kausch, Lisa, Bajwa, Akbar, Neumann, Jan-Oliver, Ishak, Basem, Naser, Paul, Vollmuth, Philipp, Kiening, Karl, Maier-Hein, Klaus, Unterberg, Andreas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10094754/ https://www.ncbi.nlm.nih.gov/pubmed/37048730 http://dx.doi.org/10.3390/jcm12072646 |
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