Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets

BACKGROUND: Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but also impose huge challenges regarding scalability for automated analysis algorithms due to rapidly increasing d...

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Detalles Bibliográficos
Autores principales: Drees, Dominik, Scherzinger, Aaron, Hägerling, René, Kiefer, Friedemann, Jiang, Xiaoyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236169/
https://www.ncbi.nlm.nih.gov/pubmed/34174827
http://dx.doi.org/10.1186/s12859-021-04262-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236169/
https://www.ncbi.nlm.nih.gov/pubmed/34174827
http://dx.doi.org/10.1186/s12859-021-04262-w

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