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Federated Semi-supervised Learning for Medical Image Segmentation with
  intra-client and inter-client Consistency

Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency

19 March 2024
Yubin Zheng
Peng Tang
Tianjie Ju
Weidong Qiu
Bo Yan
    FedML
ArXivPDFHTML

Papers citing "Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency"

3 / 3 papers shown
Title
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
Grzegorz Skorupko
Fotios Avgoustidis
Carlos Martín-Isla
Lidia Garrucho
Dimitri A. Kessler
...
Katarzyna Gwo'zdziewicz
Xavier Bargalló
Paulius Jaruševičius
Kaisar Kushibar
Karim Lekadir
FedML
101
0
0
04 Mar 2025
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,709
0
18 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
336
75,888
0
18 May 2015
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