Distributed contrastive learning for medical image segmentation

Y Wu, D Zeng, Z Wang, Y Shi, J Hu - Medical Image Analysis, 2022 - Elsevier
Supervised deep learning needs a large amount of labeled data to achieve high
performance. However, in medical imaging analysis, each site may only have a limited …
被引用次数：50 相关文章
[PDF] nsf.gov

[PDF][PDF] Distributed contrastive learning for medical image segmentation

Y Wu, D Zeng, Z Wang, Y Shi, J Hu - Medical Image Analysis, 2022 - par.nsf.gov
Supervised deep learning needs a large amount of labeled data to achieve high
performance. However, in medical imaging analysis, each site may only have a limited …

Distributed contrastive learning for medical image segmentation

Y Wu, D Zeng, Z Wang, Y Shi… - Medical image …, 2022 - pubmed.ncbi.nlm.nih.gov
Supervised deep learning needs a large amount of labeled data to achieve high
performance. However, in medical imaging analysis, each site may only have a limited …

Distributed Contrastive Learning for Medical Image Segmentation

Y Wu, D Zeng, Z Wang, Y Shi, J Hu - arXiv preprint arXiv:2208.03808, 2022 - arxiv.org
Supervised deep learning needs a large amount of labeled data to achieve high
performance. However, in medical imaging analysis, each site may only have a limited …

Distributed contrastive learning for medical image segmentation.

Y Wu, D Zeng, Z Wang, Y Shi, J Hu - Medical Image Analysis, 2022 - europepmc.org
Supervised deep learning needs a large amount of labeled data to achieve high
performance. However, in medical imaging analysis, each site may only have a limited …

Distributed Contrastive Learning for Medical Image Segmentation

Y Wu, D Zeng, Z Wang, Y Shi, J Hu - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Supervised deep learning needs a large amount of labeled data to achieve high
performance. However, in medical imaging analysis, each site may only have a limited …