Learnable PM diffusion coefficients and reformative coordinate attention network for low dose CT denoising.
Haowen ZhangPengcheng ZhangWeiting ChengShu LiRongbiao YanRuifeng HouZhiguo GuiYi LiuYang ChenPublished in: Physics in medicine and biology (2023)
This work proposes a novel edge feature extraction method that unfolds partial differential equation into neural networks, which contributes to the interpretability and clinical application value of neural network.
Keyphrases
- neural network
- low dose
- particulate matter
- image quality
- working memory
- air pollution
- dual energy
- computed tomography
- high dose
- contrast enhanced
- polycyclic aromatic hydrocarbons
- convolutional neural network
- heavy metals
- positron emission tomography
- magnetic resonance imaging
- water soluble
- machine learning
- deep learning