A deep learning model for detection of cervical spinal cord compression in MRI scans
Abstract Magnetic Resonance Imaging (MRI) evidence of spinal cord compression plays a central role in the diagnosis of degenerative cervical myelopathy (DCM). There is growing recognition that deep learning models may assist in addressing the increasing volume of medical imaging data and provide ini...
Enregistré dans:
Auteurs principaux: | Zamir Merali, Justin Z. Wang, Jetan H. Badhiwala, Christopher D. Witiw, Jefferson R. Wilson, Michael G. Fehlings |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/7f7756e69ee6443a8a43b04b5b9616be |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Variability in time to surgery for patients with acute thoracolumbar spinal cord injuries
par: Jetan H. Badhiwala, et autres
Publié: (2021) -
Plasticity of the injured human spinal cord: insights revealed by spinal cord functional MRI.
par: David W Cadotte, et autres
Publié: (2012) -
Magnetospinography visualizes electrophysiological activity in the cervical spinal cord
par: Satoshi Sumiya, et autres
Publié: (2017) -
Dosimetry, control and irradiation of rat cervical spinal cord
par: SR Mahdavi, et autres
Publié: (2005) -
A wireless spinal stimulation system for ventral activation of the rat cervical spinal cord
par: Matthew K. Hogan, et autres
Publié: (2021)