Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on C...
Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning
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London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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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 automatically detect and segment aneurysms in patients...
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Full title
Fully automated detection and segmentation of intracranial aneurysms in subarachnoid hemorrhage on CTA using deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_c3980af84cce4858a634dcf7b6dc04c8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c3980af84cce4858a634dcf7b6dc04c8
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-020-78384-1
