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Found 3 papers, 1 papers with code
Memory-efficient GAN-based Domain Translation of High Resolution 3D Medical Images
The key idea to enable memory-efficient image generation is to first generate a low-resolution version of the image followed by the generation of patches of constant sizes but successively growing resolutions.
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
Currently generative adversarial networks (GANs) are rarely applied to medical images of large sizes, especially 3D volumes, due to their large computational demand.
Probabilistic Appearance Models for Segmentation and Classification
Statistical shape and appearance models are often based on the accurate identification of one-to-one correspondences in a training data set.
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