DeepEOR: automated perioperative volumetric assessment of variable grade gliomas using deep learning

PURPOSE: Volumetric assessments, such as extent of resection (EOR) or residual tumor volume, are essential criterions in glioma resection surgery. Our goal is to develop and validate segmentation machine learning models for pre- and postoperative magnetic resonance imaging scans, allowing us to asse...

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Detalles Bibliográficos
Autores principales: Zanier, Olivier, Da Mutten, Raffaele, Vieli, Moira, Regli, Luca, Serra, Carlo, Staartjes, Victor E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2022
Materias:
Original Article - Tumor - Glioma
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922220/
https://www.ncbi.nlm.nih.gov/pubmed/36529785
http://dx.doi.org/10.1007/s00701-022-05446-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922220/
https://www.ncbi.nlm.nih.gov/pubmed/36529785
http://dx.doi.org/10.1007/s00701-022-05446-w

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