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PCDAL: A Perturbation Consistency-Driven Active Learning Approach for
  Medical Image Segmentation and Classification

PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification

29 June 2023
Tao Wang
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
T. Tan
Min Du
Qinquan Gao
Tong Tong
ArXivPDFHTML

Papers citing "PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification"

3 / 3 papers shown
Title
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
5,660
0
05 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 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
249
9,134
0
06 Jun 2015
1