Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival

BACKGROUND: Measurement of volumetric features is challenging in glioblastoma. We investigate whether volumetric features derived from preoperative MRI using a convolutional neural network–assisted segmentation is correlated with survival. METHODS: Preoperative MRI of 120 patients were scored using...

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Detalles Bibliográficos
Autores principales: Wan, Yizhou, Rahmat, Roushanak, Price, Stephen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2020
Materias:
Original Article - Brain Tumors
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593295/
https://www.ncbi.nlm.nih.gov/pubmed/32662042
http://dx.doi.org/10.1007/s00701-020-04483-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593295/
https://www.ncbi.nlm.nih.gov/pubmed/32662042
http://dx.doi.org/10.1007/s00701-020-04483-7

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