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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Shahzad, Rahil, Pennig, Lenhard, Goertz, Lukas, Thiele, Frank, Kabbasch, Christoph, Schlamann, Marc, Krischek, Boris, Maintz, David, Perkuhn, Michael, Borggrefe, Jan
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7733480/
https://ncbi.nlm.nih.gov/pubmed/33311535
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-78384-1
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