Deep learning based reconstruction enables high-resolution electrical impedance tomography for lung function assessment.
Shihao ZengWang Chun KwokPeng CaoFedi ZouariPhilip Tin Yun LeeRussell W. ChanAdrien TouboulPublished in: EMBC (2023)
Keyphrases
- deep learning
- high resolution
- image reconstruction
- super resolution
- tomographic reconstruction
- low resolution
- unsupervised learning
- unsupervised feature learning
- transmission line
- computed tomography
- weakly supervised
- high quality
- limited angle
- image processing
- deep architectures
- machine learning
- higher order
- semi supervised
- x ray
- image features
- feature extraction
- three dimensional
- multislice