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Uncertainty-inspired Open Set Learning for Retinal Anomaly
  Identification

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification

8 April 2023
Meng Wang
Tian Lin
Lianyu Wang
Aidi Lin
K. Zou
Xinxing Xu
Yi Zhou
Yuanyuan Peng
Qingquan Meng
Yiming Qian
Guoyao Deng
Z. Wu
Junhong Chen
Jianhong Lin
Mingzhi Zhang
Weifang Zhu
Changqing Zhang
Daoqiang Zhang
Rick Siow Mong Goh
Y. Liu
C. Pang
Xinjian Chen
Haoyu Chen
H. Fu
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Papers citing "Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification"

4 / 4 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
85
0
0
25 Apr 2025
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,544
0
19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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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