Automated segmentation of multiparametric magnetic resonance images for cerebral AVM radiosurgery planning: a deep learning approach

Stereotactic radiosurgery planning for cerebral arteriovenous malformations (AVM) is complicated by the variability in appearance of an AVM nidus across different imaging modalities. We developed a deep learning approach to automatically segment cerebrovascular-anatomical maps from multiple high-res...

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Detalles Bibliográficos
Autores principales: Simon, Aaron B., Hurt, Brian, Karunamuni, Roshan, Kim, Gwe-Ya, Moiseenko, Vitali, Olson, Scott, Farid, Nikdokht, Hsiao, Albert, Hattangadi-Gluth, Jona A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763944/
https://www.ncbi.nlm.nih.gov/pubmed/35039538
http://dx.doi.org/10.1038/s41598-021-04466-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763944/
https://www.ncbi.nlm.nih.gov/pubmed/35039538
http://dx.doi.org/10.1038/s41598-021-04466-3

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