Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography.
Keisuke UsuiKoichi OgawaMasami GotoYasuaki SakanoShinsuke KyougokuHiroyuki DaidaPublished in: Vis. Comput. Ind. Biomed. Art (2021)
Keyphrases
- quantitative evaluation
- image denoising
- low dose
- computed tomography
- ct images
- medical imaging
- denoising
- medical images
- image reconstruction
- ct scans
- three dimensional
- natural images
- image processing
- noisy images
- ground truth
- wavelet coefficients
- ct data
- ground truth data
- x ray
- computer tomography
- computer vision
- quality assessment
- image analysis
- anatomical structures
- pattern recognition
- magnetic resonance images
- image registration
- imaging modalities
- region of interest
- image segmentation
- lung nodules
- image enhancement