MRI Compatibility: Automatic Brain Shunt Valve Recognition using Feature Engineering and Deep Convolutional Neural Networks

The aim of this study is to evaluate whether we could develop a machine learning method to distinguish models of cerebrospinal fluid shunt valves (CSF-SVs) from their appearance in clinical X-rays. This is an essential component of an automatic MRI safety system based on X-ray imaging. To this end,...

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Detalles Bibliográficos
Autores principales: Giancardo, Luca, Arevalo, Octavio, Tenreiro, Andrea, Riascos, Roy, Bonfante, Eliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207736/
https://www.ncbi.nlm.nih.gov/pubmed/30375411
http://dx.doi.org/10.1038/s41598-018-34164-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6207736/
https://www.ncbi.nlm.nih.gov/pubmed/30375411
http://dx.doi.org/10.1038/s41598-018-34164-6

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