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Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography
BACKGROUND: Automatically detecting and quantifying pneumothorax on chest computed tomography (CT) may impact clinical decision-making. Machine learning methods published so far struggle with the heterogeneity of technical parameters and the presence of additional pathologies, highlighting the impor...
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| Pubblicato in: | Eur Radiol Exp |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7165213/ https://ncbi.nlm.nih.gov/pubmed/32303861 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s41747-020-00152-7 |
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