Faster RCNN‐based detection of cervical spinal cord injury and disc degeneration

Magnetic resonance imaging (MRI) can indirectly reflect microscopic changes in lesions on the spinal cord; however, the application of deep learning to MRI to classify and detect lesions for cervical spinal cord diseases has not been sufficiently explored. In this study, we implemented a deep neural...

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Detalles Bibliográficos
Autores principales: Ma, Shaolong, Huang, Yang, Che, Xiangjiu, Gu, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Medical Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497907/
https://www.ncbi.nlm.nih.gov/pubmed/32797664
http://dx.doi.org/10.1002/acm2.13001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7497907/
https://www.ncbi.nlm.nih.gov/pubmed/32797664
http://dx.doi.org/10.1002/acm2.13001

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