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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2022
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| Materias: | |
| 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 |