Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis

Generative Adversarial Networks (GAN) have many potential medical imaging applications, including data augmentation, domain adaptation, and model explanation. Due to the limited memory of Graphical Processing Units (GPUs), most current 3D GAN models are trained on low-resolution medical images, thes...

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Detalles Bibliográficos
Autores principales: Sun, Li, Chen, Junxiang, Xu, Yanwu, Gong, Mingming, Yu, Ke, Batmanghelich, Kayhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413516/
https://www.ncbi.nlm.nih.gov/pubmed/35522642
http://dx.doi.org/10.1109/JBHI.2022.3172976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413516/
https://www.ncbi.nlm.nih.gov/pubmed/35522642
http://dx.doi.org/10.1109/JBHI.2022.3172976

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