Performance of a deep convolutional neural network for MRI-based vertebral body measurements and insufficiency fracture detection

OBJECTIVES: The aim is to validate the performance of a deep convolutional neural network (DCNN) for vertebral body measurements and insufficiency fracture detection on lumbar spine MRI. METHODS: This retrospective analysis included 1000 vertebral bodies in 200 patients (age 75.2 ± 9.8 years) who un...

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Detalles Bibliográficos
Autores principales: Germann, Christoph, Meyer, André N., Staib, Matthias, Sutter, Reto, Fritz, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Musculoskeletal
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121505/
https://www.ncbi.nlm.nih.gov/pubmed/36576545
http://dx.doi.org/10.1007/s00330-022-09354-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121505/
https://www.ncbi.nlm.nih.gov/pubmed/36576545
http://dx.doi.org/10.1007/s00330-022-09354-6

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