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

In this work we design an end-to-end deep learning architecture for predicting, on Chest X-rays images (CXR), a multi-regional score conveying the degree of lung compromise in COVID-19 patients. Such semi-quantitative scoring system, namely Brixia score, is applied in serial monitoring of such patie...

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Detalles Bibliográficos
Autores principales: Signoroni, Alberto, Savardi, Mattia, Benini, Sergio, Adami, Nicola, Leonardi, Riccardo, Gibellini, Paolo, Vaccher, Filippo, Ravanelli, Marco, Borghesi, Andrea, Maroldi, Roberto, Farina, Davide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010334/
https://www.ncbi.nlm.nih.gov/pubmed/33862337
http://dx.doi.org/10.1016/j.media.2021.102046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010334/
https://www.ncbi.nlm.nih.gov/pubmed/33862337
http://dx.doi.org/10.1016/j.media.2021.102046

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