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Improving Medical Image Classification with Label Noise Using
  Dual-uncertainty Estimation

Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation

28 February 2021
Lie Ju
Xin Eric Wang
Lin Wang
Dwarikanath Mahapatra
Xin Zhao
Mehrtash Harandi
Tom Drummond
Tongliang Liu
Z. Ge
    NoLa
    OOD
ArXivPDFHTML

Papers citing "Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation"

4 / 4 papers shown
Title
Improved Super Resolution of MR Images Using CNNs and Vision
  Transformers
Improved Super Resolution of MR Images Using CNNs and Vision Transformers
Dwarikanath Mahapatra
SupR
ViT
MedIm
16
5
0
24 Jul 2022
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric
  Inter-Label Relations For COVID Image Analysis
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra
Ankur Singh
8
8
0
15 Jun 2021
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
47
170
0
24 May 2019
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
247
9,042
0
06 Jun 2015
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