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Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural
  Networks

Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks

21 October 2021
Z. Ge
Xin Wang
ArXivPDFHTML

Papers citing "Evaluation of Various Open-Set Medical Imaging Tasks with Deep Neural Networks"

4 / 4 papers shown
Title
AutoMO-Mixer: An automated multi-objective Mixer model for balanced,
  safe and robust prediction in medicine
AutoMO-Mixer: An automated multi-objective Mixer model for balanced, safe and robust prediction in medicine
X. Chen
Jiahuan Lv
Dehua Feng
X. Mou
L. Bai
Shu Zhang
Zhiguo Zhou
17
1
0
04 Mar 2022
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
10,613
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
270
5,660
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
261
9,136
0
06 Jun 2015
1