Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
Abstract Background Automated segmentation of anatomical structures is a crucial step in image analysis. For lung segmentation in computed tomography, a variety of approaches exists, involving sophisticated pipelines trained and validated on different datasets. However, the clinical applicability of...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SpringerOpen
2020-08-01
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| Serie: | European Radiology Experimental |
| Soggetti: | |
| Accesso online: | http://link.springer.com/article/10.1186/s41747-020-00173-2 |
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