Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network.
Wenjun TanPan LiuXiaoshuo LiYao LiuQinghua ZhouChao ChenZhaoxuan GongXiaoxia YinYanchun ZhangPublished in: Health Inf. Sci. Syst. (2021)
Keyphrases
- super resolution
- ct images
- lung nodules
- low resolution images
- computed tomography
- high resolution images
- image reconstruction
- low resolution
- low dose
- high resolution
- medical images
- chest radiographs
- higher resolution
- region of interest
- image classification
- computer tomography
- ct scans
- lymph nodes
- image data
- pattern recognition
- pulmonary nodules
- high quality
- test images
- medical imaging
- input image
- reconstruction method
- lung parenchyma
- three dimensional
- image analysis
- machine learning
- motion estimation
- back projection
- training set
- feature space
- feature extraction
- lung cancer
- image registration
- high spatial resolution
- single image
- x ray
- light field
- positron emission tomography
- image processing
- x ray images