Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks

Diffusion MRI (dMRI) is widely used to investigate neuronal and structural development of brain. dMRI data is often contaminated with various types of artifacts. Hence, artifact type identification in dMRI volumes is an essential pre-processing step prior to carrying out any further analysis. Manual...

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Detalles Bibliográficos
Autores principales: Ettehadi, Nabil, Kashyap, Pratik, Zhang, Xuzhe, Wang, Yun, Semanek, David, Desai, Karan, Guo, Jia, Posner, Jonathan, Laine, Andrew F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005752/
https://www.ncbi.nlm.nih.gov/pubmed/35431841
http://dx.doi.org/10.3389/fnhum.2022.877326

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005752/
https://www.ncbi.nlm.nih.gov/pubmed/35431841
http://dx.doi.org/10.3389/fnhum.2022.877326

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