Denoising of pediatric low dose abdominal CT using deep learning based algorithm.
Hyoung Suk ParkKiwan JeonJeongEun LeeSun Kyoung YouPublished in: PloS one (2022)
The deep learning method trained by unpaired datasets could reduce noise of LDCT images and showed similar performance to SAFIRE. It can be applied to LDCT images of older CT scanners without IR.
Keyphrases
- deep learning
- convolutional neural network
- low dose
- image quality
- dual energy
- artificial intelligence
- computed tomography
- contrast enhanced
- machine learning
- positron emission tomography
- high dose
- physical activity
- air pollution
- middle aged
- rna seq
- community dwelling
- single cell
- optical coherence tomography
- high intensity