"Predicting the severity of Neonatal Chronic Lung Disease from chest X-ray ..."

Ryunosuke Maeda et al. (2022)

> Home

Details and statistics

DOI: 10.1109/SMC53654.2022.9945486

access: closed

type: Conference or Workshop Paper

metadata version: 2022-12-01

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/smc/MaedaFTOHMNK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/smc/MaedaFTOHMNK22
Ryunosuke Maeda, Daisuke Fujita, Kosuke Tanaka, Jyunichi Ozawa, Mitsuhiro Haga, Haoyuki Miyahara, Fumihiko Nanba, Syoji Kobashi:
Predicting the severity of Neonatal Chronic Lung Disease from chest X-ray images using deep learning. SMC 2022: 1543-1547

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.