Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation.
Ilja ManakovMarkus RohmChristoph KernBenedikt SchwormKarsten KortuemVolker TrespPublished in: DART/MIL3ID@MICCAI (2019)
Keyphrases
- medical images
- denoising
- region of interest
- denoising algorithm
- biomedical images
- denoising methods
- gaussian noise
- medical image retrieval
- computer tomography
- medical imaging
- medical image analysis
- anatomical structures
- ct images
- input image
- deformable models
- mri images
- image data
- image analysis
- magnetic resonance imaging
- magnetic resonance
- wavelet based denoising
- multiscale
- image denoising
- noise level
- image intensity
- image classification
- image features
- noisy images
- image retrieval
- imaging modalities
- magnetic resonance images
- x ray images
- computer aided diagnosis
- brain images
- image segmentation
- image representation
- image content
- medical image segmentation
- clinical applications
- edge detection
- mr images
- image modalities
- ultrasound images
- volumetric data
- ct scans
- wavelet domain
- image collections
- energy function
- segmentation algorithm
- high resolution
- three dimensional