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Unsupervised Feature Clustering Improves Contrastive Representation
  Learning for Medical Image Segmentation

Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation

15 November 2022
Yejia Zhang
Xinrong Hu
Nishchal Sapkota
Yiyu Shi
Da Chen
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation"

3 / 3 papers shown
Title
Contrastive Image Synthesis and Self-supervised Feature Adaptation for
  Cross-Modality Biomedical Image Segmentation
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation
Xinrong Hu
Corey Wang
Yiyu Shi
MedIm
34
1
0
27 Jul 2022
COVID-19 Prognosis via Self-Supervised Representation Learning and
  Multi-Image Prediction
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram
Matthew Muckley
Koustuv Sinha
Farah E. Shamout
Joelle Pineau
Krzysztof J. Geras
Lea Azour
Y. Aphinyanaphongs
N. Yakubova
W. Moore
MedIm
128
64
0
13 Jan 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
1