Self-trained deep convolutional neural network for noise reduction in CT.
Zhongxing ZhouAkitoshi InoueCynthia H McColloughLifeng YuPublished in: Journal of medical imaging (Bellingham, Wash.) (2023)
The proposed ST_CNN method trained from the data itself may achieve similar image quality in comparison with conventional deep CNN denoising methods pre-trained on external datasets.
Keyphrases
- convolutional neural network
- image quality
- resistance training
- deep learning
- computed tomography
- dual energy
- body composition
- electronic health record
- air pollution
- big data
- magnetic resonance imaging
- contrast enhanced
- magnetic resonance
- machine learning
- artificial intelligence
- rna seq
- data analysis
- clinical evaluation