Conditional Generative Adversarial Networks for low-dose CT image denoising aiming at preservation of critical image content.
Koen C. KustersLuis A. Zavala-MondragonJavier Oliván BescósPeter M. J. RongenPeter H. N. de WithFons van der SommenPublished in: EMBC (2021)
Keyphrases
- image denoising
- image content
- low dose
- x ray
- computed tomography
- denoising
- ct scans
- imaging modalities
- noisy images
- image database
- natural images
- ct images
- computer tomography
- image retrieval
- dual energy
- lung nodules
- image representation
- image processing
- total variation
- medical images
- image data
- contrast enhancement
- image features
- wavelet domain
- wavelet coefficients
- three dimensional
- denoising algorithm
- image reconstruction
- multiscale
- medical imaging
- image regions
- denoising methods
- low contrast
- noise model
- object recognition
- gaussian noise
- computer aided diagnosis
- ct data
- subband
- image classification
- multiplicative noise
- image compression
- computer vision