An unsupervised deep learning network model for artifact correction of cone-beam computed tomography images.
Wenjun ZhangHaining DingHongchun XuMingming JinGang HuangPublished in: Biomed. Signal Process. Control. (2024)
Keyphrases
- network model
- deep learning
- computed tomography images
- unsupervised learning
- cone beam
- deep architectures
- weakly supervised
- automatic segmentation
- x ray
- ct images
- computed tomography
- image reconstruction
- radon transform
- machine learning
- medical images
- supervised learning
- semi supervised
- neural network
- ct scans
- clinical data
- tomographic reconstruction
- feature selection
- mental models
- medical imaging
- projection images
- superpixels
- data analysis
- denoising
- data mining