Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation.
Yuli WuWeidong HeDennis EschweilerNingxin DouZixin FanShengli MiPeter WalterJohannes StegmaierPublished in: CoRR (2023)
Keyphrases
- optical coherence tomography
- oct images
- denoising
- probabilistic model
- nonlinear diffusion
- image denoising
- graphical models
- imaging modalities
- diffusion processes
- retinal images
- multi directional
- fundus images
- noisy images
- generative model
- segmentation algorithm
- vector valued images
- diffusion process
- image segmentation
- segmentation method
- image processing
- bayesian networks
- medical images
- expectation maximization
- retinal blood vessels
- multiscale
- image analysis
- natural images
- anisotropic diffusion
- energy function
- automated segmentation
- language model
- energy functional
- total variation
- conditional random fields
- noise removal
- graph cuts
- coronary artery
- active contours
- cross sections
- shape prior
- vessel detection