3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks

PURPOSE: The quantitative analysis of contrast-enhanced Computed Tomography Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform preoperative planning in vascular surgery. To overcome the limitations given by manual and semi-automatic segmentation tools, we appl...

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Detalles Bibliográficos
Autores principales: Fantazzini, Alice, Esposito, Mario, Finotello, Alice, Auricchio, Ferdinando, Pane, Bianca, Basso, Curzio, Spinella, Giovanni, Conti, Michele
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/PMC7511465/
https://www.ncbi.nlm.nih.gov/pubmed/32783134
http://dx.doi.org/10.1007/s13239-020-00481-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511465/
https://www.ncbi.nlm.nih.gov/pubmed/32783134
http://dx.doi.org/10.1007/s13239-020-00481-z

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