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...

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Detalles Bibliográficos
Autores principales: Hofmanninger, Johannes, Prayer, Forian, Pan, Jeanny, Röhrich, Sebastian, Prosch, Helmut, Langs, Georg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Original Article
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

Internet

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

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