Normalizing Flow for Synthetic Medical Images Generation
Author:
Affiliation:
1. Santa Clara University,Faculty of Mathematics and Computer Science
2. University of South Florida,Department of Computer Science and Engineering
3. Massachusetts General Hospital,Harvard Medical School
4. Harvard Medical School
Funder
National Institutes of Health
University of South Florida
Health
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9744017/9744055/09744072.pdf?arnumber=9744072
Reference46 articles.
1. Catastrophic forgetting and mode collapse in GANs
2. Synthesis of Medical Images Using GANs
3. Optimization Methods for Large-Scale Machine Learning
4. Generative Adversarial Network for Medical Images (MI-GAN)
5. Deep generative models: Survey
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