High-resolution mammogram synthesis using progressive generative adversarial networks

D Korkinof, T Rijken, M O'Neill, J Yearsley… - arXiv preprint arXiv …, 2018 - arxiv.org
The ability to generate synthetic medical images is useful for data augmentation, domain
transfer, and out-of-distribution detection. However, generating realistic, high-resolution …
被引用次数：77 相关文章

High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks

D Korkinof, T Rijken, M O'Neill, J Yearsley… - arXiv e …, 2018 - ui.adsabs.harvard.edu
The ability to generate synthetic medical images is useful for data augmentation, domain
transfer, and out-of-distribution detection. However, generating realistic, high-resolution …
[PDF] researchgate.net

[PDF][PDF] High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks

D Korkinof, T Rijken, M O'Neill, J Yearsley… - arXiv preprint arXiv …, 2018 - researchgate.net
The ability to generate synthetic medical images is useful for data augmentation, domain
transfer, and out-of-distribution detection. However, generating realistic, high-resolution …