Patch-wise Deep Metric Learning for Unsupervised Low-Dose CT Denoising.
Chanyong JungJoonhyung LeeSunkyoung YouJong Chul YePublished in: CoRR (2022)
Keyphrases
- low dose
- metric learning
- denoising
- semi supervised
- pairwise
- computed tomography
- x ray
- imaging modalities
- ct scans
- image denoising
- computer tomography
- natural images
- lung nodules
- distance metric
- contrast enhancement
- image patches
- ct images
- dual energy
- medical images
- supervised learning
- learning tasks
- multi task
- noisy images
- image processing
- dimensionality reduction
- unsupervised learning
- image reconstruction
- semi supervised learning
- labeled data
- three dimensional
- intraoperative
- ct data
- medical imaging
- distance function
- feature space
- pattern recognition
- active learning
- clinical applications
- computer aided diagnosis
- feature vectors
- clinical trials
- region of interest
- denoising methods
- anatomical structures
- medical diagnosis
- magnetic resonance imaging
- markov random field
- image segmentation
- text classification