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Self-training of Machine Learning Models for Liver Histopathology:
  Generalization under Clinical Shifts

Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts

14 November 2022
Jin Li
Deepta Rajan
Chintan Shah
Dinkar Juyal
S. Chakraborty
Chandan Akiti
Filip Kos
Janani Iyer
Anand Sampat
A. Behrooz
    OOD
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Papers citing "Self-training of Machine Learning Models for Liver Histopathology: Generalization under Clinical Shifts"

3 / 3 papers shown
Title
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
209
508
0
15 Jan 2021
Teacher-Student chain for efficient semi-supervised histology image
  classification
Teacher-Student chain for efficient semi-supervised histology image classification
Shayne Shaw
Maciej Pajak
Aneta Lisowska
Sotirios A. Tsaftaris
Alison Q. OÑeil
29
25
0
17 Mar 2020
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
249
9,134
0
06 Jun 2015
1