"The use of artificial intelligence systems in diagnosis of pneumonia via ..."

Katy Stokes et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.BSPC.2021.103325

access: open

type: Journal Article

metadata version: 2022-10-02

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bspc/StokesCFPMCFSFP22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bspc/StokesCFPMCFSFP22
Katy Stokes, Rossana Castaldo, Carlo Federici, Silvio Marcello Pagliara, Alessia Maccaro, Francesco Cappuccio, Giuseppe Fico, Marco Salvatore, Monica Franzese, Leandro Pecchia:
The use of artificial intelligence systems in diagnosis of pneumonia via signs and symptoms: A systematic review. Biomed. Signal Process. Control. 72(Part): 103325 (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.