Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography
Abstract 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 t...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
SpringerOpen
2020-04-01
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| Serier: | European Radiology Experimental |
| Fag: | |
| Online adgang: | http://link.springer.com/article/10.1186/s41747-020-00152-7 |
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