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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7165213/ https://www.ncbi.nlm.nih.gov/pubmed/32303861 http://dx.doi.org/10.1186/s41747-020-00152-7 |