Reproducibility analysis of automated deep learning based localisation of mandibular canals on a tem...
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Preoperative radiological identification of mandibular canals is essential for maxillofacial surgery. This study demonstrates the reproducibility of a deep learning system (DLS) by evaluating its localisation performance on 165 heterogeneous cone beam computed tomography (CBCT) scans from 72 patients in comparison to an experienced radiologist's an...
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Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
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TN_cdi_proquest_journals_2819149232
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2819149232
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2331-8422
