"Automated Detection of COVID-19 Using Deep Learning Approaches with ..."

Mahmoud M. Bassiouni et al. (2022)

> Home

Details and statistics

DOI: 10.1007/S00034-022-02035-1

access: closed

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cssp/BassiouniHRES22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cssp/BassiouniHRES22
Mahmoud M. Bassiouni, Islam Hegazy, Nouhad Rizk, El-Sayed A. El-Dahshan, Abdel-Badeeh M. Salem:
Automated Detection of COVID-19 Using Deep Learning Approaches with Paper-Based ECG Reports. Circuits Syst. Signal Process. 41(10): 5535-5577 (2022)

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.