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Leveraging Unlabeled Data for 3D Medical Image Segmentation through
  Self-Supervised Contrastive Learning

Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning

21 November 2023
Sanaz Karimijafarbigloo
Reza Azad
Yury Velichko
Ulas Bagci
Dorit Merhof
ArXivPDFHTML

Papers citing "Leveraging Unlabeled Data for 3D Medical Image Segmentation through Self-Supervised Contrastive Learning"

3 / 3 papers shown
Title
Foundational Models in Medical Imaging: A Comprehensive Survey and
  Future Vision
Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision
Bobby Azad
Reza Azad
Sania Eskandari
Afshin Bozorgpour
A. Kazerouni
I. Rekik
Dorit Merhof
VLM
MedIm
93
57
0
28 Oct 2023
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
118
0
01 May 2023
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
215
848
0
15 Oct 2021
1