A Deep Learning Approach for Automatic Segmentation during Daily MRI-Linac Radiotherapy of Glioblastoma

SIMPLE SUMMARY: Current auto-segmentation methods for glioblastoma utilize mainly pre-operative 1.5T and 3T MRI. The first commercial MRI-linear accelerator (linac) radiation treatment platform acquires low-field (0.35T) post-operative MRI at the delivery of each treatment. This study presents the f...

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Detalles Bibliográficos
Autores principales: Breto, Adrian L., Cullison, Kaylie, Zacharaki, Evangelia I., Wallaengen, Veronica, Maziero, Danilo, Jones, Kolton, Valderrama, Alessandro, de la Fuente, Macarena I., Meshman, Jessica, Azzam, Gregory A., Ford, John C., Stoyanova, Radka, Mellon, Eric A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647471/
https://www.ncbi.nlm.nih.gov/pubmed/37958415
http://dx.doi.org/10.3390/cancers15215241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647471/
https://www.ncbi.nlm.nih.gov/pubmed/37958415
http://dx.doi.org/10.3390/cancers15215241

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