Denoising Diffusions in Latent Space for Medical Image Segmentation.
Fahim Ahmed ZamanMathews JacobAmanda ChangKan LiuMilan SonkaXiaodong WuPublished in: CoRR (2024)
Keyphrases
- medical image segmentation
- latent space
- denoising
- latent variables
- medical images
- image denoising
- low dimensional
- dimensionality reduction
- matrix factorization
- lower dimensional
- image processing
- gaussian process
- noisy images
- manifold learning
- generative model
- total variation
- curve evolution
- gaussian processes
- parameter space
- statistical shape model
- high dimensional
- feature space
- probabilistic latent semantic analysis
- level set method
- medical image analysis
- natural images
- medical imaging
- transfer learning
- high dimensional data
- computer vision
- wavelet packet
- probabilistic model
- pattern recognition
- image segmentation
- level set
- bayesian networks
- deformable models
- sparse representation
- topic models
- feature extraction
- machine learning