Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks

Two data-driven algorithms were developed for detecting and characterizing Inferior Vena Cava (IVC) filters on abdominal computed tomography to assist healthcare providers with the appropriate management of these devices to decrease complications: one based on 2-dimensional data and transfer learnin...

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Detalles Bibliográficos
Autores principales: Candemir, Sema, Moranville, Robert, Wong, Kelvin A., Campbell, Warren, Bigelow, Matthew T., Prevedello, Luciano M., Makary, Mina S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584764/
https://www.ncbi.nlm.nih.gov/pubmed/37770730
http://dx.doi.org/10.1007/s10278-023-00882-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10584764/
https://www.ncbi.nlm.nih.gov/pubmed/37770730
http://dx.doi.org/10.1007/s10278-023-00882-1

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