Segmentation of glioblastomas via 3D FusionNet

Segmentation of glioblastomas via 3D FusionNet

IntroductionThis study presented an end-to-end 3D deep learning model for the automatic segmentation of brain tumors.MethodsThe MRI data used in this study were obtained from a cohort of 630 GBM patients from the University of Pennsylvania Health System (UPENN-GBM). Data augmentation techniques such...

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Xehetasun bibliografikoak
Egile Nagusiak: Xiangyu Guo, Botao Zhang, Yue Peng, Feng Chen, Wenbin Li
Formatua: Artikulua
Hizkuntza:English
Argitaratua: Frontiers Media S.A. 2024-11-01
Saila:Frontiers in Oncology
Gaiak:
brain tumor segmentation
MRI
U-net
SegNet
3D deep learning model
Sarrera elektronikoa:https://www.frontiersin.org/articles/10.3389/fonc.2024.1488616/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2024.1488616/full

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