Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach
Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach
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Publisher
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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Contents
Early diagnosis of deep venous thrombosis is essential for reducing complications, such as recurrent pulmonary embolism and venous thromboembolism. There are numerous studies on enhancing efficiency of computer-aided diagnosis, but clinical diagnostic approaches have never been considered. In this study, we evaluated the performance of an artificia...
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Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach
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TN_cdi_doaj_primary_oai_doaj_org_article_1ebe77acca1f4b8e95d4af664bc0aea9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1ebe77acca1f4b8e95d4af664bc0aea9
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-25849-0
