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Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
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 these a...
| 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/PMC7438418/ https://www.ncbi.nlm.nih.gov/pubmed/32814998 http://dx.doi.org/10.1186/s41747-020-00173-2 |