Convolutional Neural Network–Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury

BACKGROUND AND PURPOSE: Our aim was to use 2D convolutional neural networks for automatic segmentation of the spinal cord and traumatic contusion injury from axial T2-weighted MR imaging in a cohort of patients with acute spinal cord injury. MATERIALS AND METHODS: Forty-seven patients who underwent...

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Опубликовано в: :AJNR Am J Neuroradiol
Главные авторы: McCoy, D.B., Dupont, S.M., Gros, C., Cohen-Adad, J., Huie, R.J., Ferguson, A., Duong-Fernandez, X., Thomas, L.H., Singh, V., Narvid, J., Pascual, L., Kyritsis, N., Beattie, M.S., Bresnahan, J.C., Dhall, S., Whetstone, W., Talbott, J.F.
Формат: Artigo
Язык:Inglês
Опубликовано: American Society of Neuroradiology 2019
Предметы:
Spine
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7048524/
https://ncbi.nlm.nih.gov/pubmed/30923086
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6020
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