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Data augmentation using learned transformations for one-shot medical image segmentation

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10, CIFAR-100, ImageNet, CUB-200-2011, and Stanford Dogs datasets.

Data and Resources

Cite this as

Zhao, A.; Balakrishnan, G.; Durand, F.; Guttag, J. V.; and Dalca, A. V. (2024). Dataset: Data augmentation using learned transformations for one-shot medical image segmentation. https://doi.org/10.57702/hjt0qinz

DOI retrieved: December 3, 2024

Additional Info

Field Value
Created December 3, 2024
Last update December 3, 2024
Author Zhao, A.; Balakrishnan, G.; Durand, F.; Guttag, J. V.; and Dalca, A. V.
Homepage https://ieeexplore.ieee.org/document/8661116