Positional contrastive learning for volumetric medical image segmentation

D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang… - … Image Computing and …, 2021 - Springer
The success of deep learning heavily depends on the availability of large labeled training
sets. However, it is hard to get large labeled datasets in medical image domain because of …
被引用次数：108 相关文章

Positional Contrastive Learning for Volumetric Medical Image Segmentation

D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang… - … Conference on Medical …, 2021 - dl.acm.org
The success of deep learning heavily depends on the availability of large labeled training
sets. However, it is hard to get large labeled datasets in medical image domain because of …

Positional Contrastive Learning for Volumetric Medical Image Segmentation

D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang… - arXiv e …, 2021 - ui.adsabs.harvard.edu
The success of deep learning heavily depends on the availability of large labeled training
sets. However, it is hard to get large labeled datasets in medical image domain because of …

Positional Contrastive Learning for Volumetric Medical Image Segmentation

D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang… - arXiv preprint arXiv …, 2021 - arxiv.org
The success of deep learning heavily depends on the availability of large labeled training
sets. However, it is hard to get large labeled datasets in medical image domain because of …
[PDF] academia.edu

[PDF][PDF] Positional Contrastive Learning for Volumetric Medical Image Segmentation

D Zeng, Y Wu, X Hu, X Xu, H Yuan… - arXiv preprint arXiv …, 2021 - academia.edu
The success of deep learning heavily depends on the availability of large labeled training
sets. However, it is hard to get large labeled datasets in medical image domain because of …
[PDF] academia.edu

[PDF][PDF] Positional Contrastive Learning for Volumetric Medical Image Segmentation

D Zeng, Y Wu, X Hu, X Xu, H Yuan… - arXiv preprint arXiv …, 2021 - academia.edu
The success of deep learning heavily depends on the availability of large labeled training
sets. However, it is hard to get large labeled datasets in medical image domain because of …