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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...
Autores principales: | Simon, Aaron B., Hurt, Brian, Karunamuni, Roshan, Kim, Gwe-Ya, Moiseenko, Vitali, Olson, Scott, Farid, Nikdokht, Hsiao, Albert, Hattangadi-Gluth, Jona A. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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