"BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset."

Alberto Signoroni et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.MEDIA.2021.102046

access: closed

type: Journal Article

metadata version: 2022-08-16

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/mia/SignoroniSBALGV21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mia/SignoroniSBALGV21
Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, Davide Farina:
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. Medical Image Anal. 71: 102046 (2021)

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.