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Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma
  Segmentation by Spherical Image Projection

Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection

12 October 2022
Zhenyu Yang
Kyle J. Lafata
E. Vaios
Zongsheng Hu
Trey C Mullikin
F. Yin
Cong Wang
ArXivPDFHTML

Papers citing "Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection"

1 / 1 papers shown
Title
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1