Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning

In aneurysmal subarachnoid hemorrhage (aSAH), accurate diagnosis of aneurysm is essential for subsequent treatment to prevent rebleeding. However, aneurysm detection proves to be challenging and time-consuming. The purpose of this study was to develop and evaluate a deep learning model (DLM) to auto...

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Detalles Bibliográficos
Autores principales: Shahzad, Rahil, Pennig, Lenhard, Goertz, Lukas, Thiele, Frank, Kabbasch, Christoph, Schlamann, Marc, Krischek, Boris, Maintz, David, Perkuhn, Michael, Borggrefe, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733480/
https://www.ncbi.nlm.nih.gov/pubmed/33311535
http://dx.doi.org/10.1038/s41598-020-78384-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7733480/
https://www.ncbi.nlm.nih.gov/pubmed/33311535
http://dx.doi.org/10.1038/s41598-020-78384-1

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