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Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction
OBJECTIVES: Computed tomography (CT)–based bronchial parameters correlate with disease status. Segmentation and measurement of the bronchial lumen and walls usually require significant manpower. We evaluate the reproducibility of a deep learning and optimal-surface graph-cut method to automatically...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511366/ https://www.ncbi.nlm.nih.gov/pubmed/37071168 http://dx.doi.org/10.1007/s00330-023-09615-y |