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Self-Supervised Learning for Organs At Risk and Tumor Segmentation with
  Uncertainty Quantification

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification

4 May 2023
I. Isler
Debesh Jha
C. Lisle
J. Rineer
P. Kelly
B. Aydogan
M. Abazeed
D. Turgut
Ulas Bagci
    ViT
    MedIm
    UQCV
ArXivPDFHTML

Papers citing "Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification"

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
261
9,134
0
06 Jun 2015
1