Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment

OBJECTIVE: Clinical and surgical decisions for glioblastoma patients depend on a tumor imaging-based evaluation. Artificial Intelligence (AI) can be applied to magnetic resonance imaging (MRI) assessment to support clinical practice, surgery planning and prognostic predictions. In a real-world conte...

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Detalles Bibliográficos
Autores principales: Bianconi, Andrea, Rossi, Luca Francesco, Bonada, Marta, Zeppa, Pietro, Nico, Elsa, De Marco, Raffaele, Lacroce, Paola, Cofano, Fabio, Bruno, Francesco, Morana, Giovanni, Melcarne, Antonio, Ruda, Roberta, Mainardi, Luca, Fiaschi, Pietro, Garbossa, Diego, Morra, Lia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558414/
https://www.ncbi.nlm.nih.gov/pubmed/37801128
http://dx.doi.org/10.1186/s40708-023-00207-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558414/
https://www.ncbi.nlm.nih.gov/pubmed/37801128
http://dx.doi.org/10.1186/s40708-023-00207-6

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