Web: http://arxiv.org/abs/2209.07162

Sept. 16, 2022, 1:15 a.m. | Walter H. L. Pinaya, Petru-Daniel Tudosiu, Jessica Dafflon, Pedro F da Costa, Virginia Fernandez, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardo

cs.CV updates on arXiv.org arxiv.org

Deep neural networks have brought remarkable breakthroughs in medical image
analysis. However, due to their data-hungry nature, the modest dataset sizes in
medical imaging projects might be hindering their full potential. Generating
synthetic data provides a promising alternative, allowing to complement
training datasets and conducting medical image research at a larger scale.
Diffusion models recently have caught the attention of the computer vision
community by producing photorealistic synthetic images. In this study, we
explore using Latent Diffusion Models to generate …

arxiv brain brain imaging diffusion diffusion models imaging

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