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3D Brain and Heart Volume Generative Models: A Survey
- Publication Year :
- 2022
-
Abstract
- Generative models such as generative adversarial networks and autoencoders have gained a great deal of attention in the medical field due to their excellent data generation capability. This paper provides a comprehensive survey of generative models for three-dimensional (3D) volumes, focusing on the brain and heart. A new and elaborate taxonomy of unconditional and conditional generative models is proposed to cover diverse medical tasks for the brain and heart: unconditional synthesis, classification, conditional synthesis, segmentation, denoising, detection, and registration. We provide relevant background, examine each task and also suggest potential future directions. A list of the latest publications will be updated on Github to keep up with the rapid influx of papers at https://github.com/csyanbin/3D-Medical-Generative-Survey.<br />Comment: Accepted at ACM Computing Surveys (CSUR) 2023
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2210.05952
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1145/3638044