Deep learning in the ultrasound evaluation of neonatal respiratory status

@article{Gravina2021DeepLI,
  title={Deep learning in the ultrasound evaluation of neonatal respiratory status},
  author={Michela Gravina and Diego Gragnaniello and Luisa Verdoliva and Giovanni Poggi and Iuri Corsini and Carlo Dani and Fabio Meneghin and Gianluca Lista and Salvatore Aversa and Francesco Raimondi and F. Garcia Migliaro and Carlo Sansone},
  journal={2020 25th International Conference on Pattern Recognition (ICPR)},
  year={2021},
  pages={10493-10499}
}
Lung ultrasound imaging is reaching growing interest from the scientific community. On one side, thanks to its harmlessness and high descriptive power, this kind of diagnostic imaging has been largely adopted in sensitive applications, like the diagnosis and follow-up of preterm newborns in neonatal intensive care units. On the other side, state-of-the-art image analysis and pattern recognition approaches have recently proven their ability to fully exploit the rich information contained in… 

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