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Inter- and intra-uncertainty based feature aggregation model for
  semi-supervised histopathology image segmentation

Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation

19 March 2024
Qiangguo Jin
Hui Cui
Changming Sun
Yang Song
Jiangbin Zheng
Leilei Cao
Leyi Wei
Ran Su
ArXivPDFHTML

Papers citing "Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation"

5 / 5 papers shown
Title
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance
  Segmentation
Boundary-aware Contrastive Learning for Semi-supervised Nuclei Instance Segmentation
Ye Zhang
Ziyue Wang
Yifeng Wang
Hao Bian
Linghan Cai
Hengrui Li
Lingbo Zhang
Yongbing Zhang
SSL
8
2
0
07 Feb 2024
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Yunhao Bai
Duowen Chen
Qingli Li
Wei Shen
Yan Wang
36
122
0
01 May 2023
Mutual Consistency Learning for Semi-supervised Medical Image
  Segmentation
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation
Yicheng Wu
Z. Ge
Donghao Zhang
Minfeng Xu
Lei Zhang
Yong-quan Xia
Jianfei Cai
OOD
SSL
64
228
0
21 Sep 2021
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
174
496
0
08 Mar 2020
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
9,109
0
06 Jun 2015
1