Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets.
Dennis EschweilerRüveyda YilmazMatisse BaumannIna LaubeRijo RoyAbin JoseDaniel BrücknerJohannes StegmaierPublished in: PLoS Comput. Biol. (2024)
Keyphrases
- denoising
- probabilistic model
- nonlinear diffusion
- image denoising
- diffusion processes
- total variation
- image analysis
- graphical models
- expectation maximization
- bayesian inference
- generative model
- conditional random fields
- image processing
- noisy images
- real life
- natural images
- real world
- manually annotated
- denoising algorithm
- noise removal
- anisotropic diffusion
- language model
- generation process
- denoising methods
- latent variables
- probabilistic modeling
- bayesian networks
- wavelet domain
- image segmentation
- electron microscopy
- high throughput