"An efficient quantification of COVID-19 in chest CT images with improved ..."

Aya Nader Salama et al. (2023)

> Home

Details and statistics

DOI: 10.1002/IMA.22930

access: closed

type: Journal Article

metadata version: 2024-01-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/imst/SalamaMAA23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/imst/SalamaMAA23
Aya Nader Salama, M. A. Mohamed, Hanan M. Amer, Mohamed Maher Ata:
An efficient quantification of COVID-19 in chest CT images with improved semantic segmentation using U-Net deep structure. Int. J. Imaging Syst. Technol. 33(6): 1882-1901 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.