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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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| Publicado no: | Med Image Anal |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier B.V.
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8010334/ https://ncbi.nlm.nih.gov/pubmed/33862337 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2021.102046 |
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