Deep residual constrained reconstruction via learned convolutional sparse coding for low-dose CT imaging.
Jin LiuTingyu ZhangYanqin KangYong WangYikun ZhangDianlin HuYang ChenPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- sparse coding
- low dose
- ct imaging
- ct scans
- computer tomography
- computed tomography
- ct images
- x ray
- deep belief networks
- natural images
- sparse representation
- medical images
- image reconstruction
- linear combination
- unsupervised learning
- medical imaging
- image classification
- image representation
- generative model
- imaging modalities
- ct data
- three dimensional
- lung nodules
- medical diagnosis
- feature space
- deep learning
- magnetic resonance imaging
- computer aided diagnosis
- region of interest
- image patches
- visual words
- clinical applications
- contrast enhancement
- image registration
- anatomical structures
- x ray images
- magnetic resonance
- denoising
- medical image analysis
- deformable models
- higher order
- image analysis
- multiscale
- feature extraction