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An Active Learning Method for Diabetic Retinopathy Classification with
  Uncertainty Quantification

An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification

24 December 2020
Muhammad Ahtazaz Ahsan
A. Qayyum
Junaid Qadir
Adeel Razi
    BDL
ArXivPDFHTML

Papers citing "An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification"

2 / 2 papers shown
Title
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
41
20
0
09 Oct 2023
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
9,138
0
06 Jun 2015
1