Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter...
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Deep learning approach has been demonstrated to automatically segment the bilateral mandibular canals from CBCT scans, yet systematic studies of its clinical and technical validation are scarce. To validate the mandibular canal localization accuracy of a deep learning system (DLS) we trained it with 982 CBCT scans and evaluated using 150 scans of f...
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Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
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TN_cdi_doaj_primary_oai_doaj_org_article_7ecb1f5148cb4646921a19cdc311a766
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7ecb1f5148cb4646921a19cdc311a766
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-20605-w
