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Exploring Instance-Level Uncertainty for Medical Detection

Exploring Instance-Level Uncertainty for Medical Detection

23 December 2020
Jiawei Yang
Yuan Liang
Yao Zhang
Weinan Song
Kun Wang
Lei He
    UQCV
ArXivPDFHTML

Papers citing "Exploring Instance-Level Uncertainty for Medical Detection"

3 / 3 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
46
20
0
09 Oct 2023
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
34
81
0
05 Oct 2022
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
287
9,156
0
06 Jun 2015
1