An efficient quantification of COVID-19 in chest CT images with improved semantic segmentation using U-Net deep structure.
Aya Nader SalamaM. A. MohamedHanan M. AmerMohamed Maher AtaPublished in: Int. J. Imaging Syst. Technol. (2023)
Keyphrases
- ct images
- computed tomography
- semantic segmentation
- deep structure
- lung nodules
- medical images
- pulmonary nodules
- multiscale
- superpixels
- medical imaging
- ct scans
- conditional random fields
- scale spaces
- scale space
- x ray
- region of interest
- weakly supervised
- image reconstruction
- object categories
- scene classification
- x ray images
- pairwise
- three dimensional