{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T05:40:23Z","timestamp":1793770823627,"version":"4.6.1"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["L222026"],"award-info":[{"award-number":["L222026"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012232","name":"National Key Clinical Specialty Discipline Construction Program of China","doi-asserted-by":"publisher","award":["PKUSSNKP\\u2011202103"],"award-info":[{"award-number":["PKUSSNKP\\u2011202103"]}],"id":[{"id":"10.13039\/501100012232","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2023YFC2509200"],"award-info":[{"award-number":["2023YFC2509200"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Dentistry"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1016\/j.jdent.2024.104931","type":"journal-article","created":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T11:29:34Z","timestamp":1709724574000},"page":"104931","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":36,"special_numbering":"C","title":["Towards clinically applicable automated mandibular canal segmentation on CBCT"],"prefix":"10.1016","volume":"144","author":[{"given":"Fang-Duan","family":"Ni","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zi-Neng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3321-0218","authenticated-orcid":false,"given":"Mu-Qing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min-Juan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3488-4492","authenticated-orcid":false,"given":"Hai-Long","family":"Bai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7049-9888","authenticated-orcid":false,"given":"Kai-Yuan","family":"Fu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jdent.2024.104931_bib0001","doi-asserted-by":"crossref","first-page":"922","DOI":"10.1016\/j.ijom.2007.03.012","article-title":"Clinical characteristics of trigeminal nerve injury referrals to a university centre","volume":"36","author":"Tay","year":"2007","journal-title":"Int. J. Oral Maxillofac. Surg."},{"key":"10.1016\/j.jdent.2024.104931_bib0002","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1111\/j.1752-248X.2010.01096.x","article-title":"Characteristics of patients referred to a UK trigeminal nerve injury service","volume":"4","author":"Robinson","year":"2011","journal-title":"Oral. Surg."},{"key":"10.1016\/j.jdent.2024.104931_bib0003","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/s00784-006-0089-5","article-title":"Iatrogenic injury to oral branches of the trigeminal nerve: records of 449 cases","volume":"11","author":"Hillerup","year":"2007","journal-title":"Clin. Oral Investig."},{"key":"10.1016\/j.jdent.2024.104931_bib0004","doi-asserted-by":"crossref","first-page":"e2","DOI":"10.5037\/jomr.2014.5402","article-title":"Inferior alveolar nerve injuries following implant placement -importance of early diagnosis and treatment: a systematic review","volume":"5","author":"Shavit","year":"2014","journal-title":"J. Oral Maxillofac. Res."},{"key":"10.1016\/j.jdent.2024.104931_bib0005","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.jormas.2019.06.010","article-title":"Determining the risk relationship associated with inferior alveolar nerve injury following removal of mandibular third molar teeth: a systematic review","volume":"121","author":"Kang","year":"2020","journal-title":"J. Stomatol. Oral Maxillofac. Surg."},{"key":"10.1016\/j.jdent.2024.104931_bib0006","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/s00784-011-0544-9","article-title":"Assessment of variations of the mandibular canal through cone beam computed tomography","volume":"16","author":"de Oliveira-Santos","year":"2012","journal-title":"Clin. Oral Investig."},{"key":"10.1016\/j.jdent.2024.104931_bib0007","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1016\/j.joms.2013.09.030","article-title":"Accuracy of assessing the mandibular canal on cone-beam computed tomography: a validation study","volume":"72","author":"Gerlach","year":"2014","journal-title":"J. Oral Maxillofac. Surg."},{"key":"10.1016\/j.jdent.2024.104931_bib0008","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1016\/j.joms.2009.09.059","article-title":"Reproducibility of 3 different tracing methods based on cone beam computed tomography in determining the anatomical position of the mandibular canal","volume":"68","author":"Gerlach","year":"2010","journal-title":"J. Oral Maxillofac. Surg."},{"key":"10.1016\/j.jdent.2024.104931_bib0009","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.jebdp.2017.05.002","article-title":"Predoctoral and postdoctoral education on cone-beam computed tomography","volume":"17","author":"Buchanan","year":"2017","journal-title":"J. Evid. Based Dent. Pract."},{"key":"10.1016\/j.jdent.2024.104931_bib0010","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1177\/0022034520915714","article-title":"Artificial intelligence in dentistry: chances and challenges","volume":"99","author":"Schwendicke","year":"2020","journal-title":"J. Dent. Res."},{"key":"10.1016\/j.jdent.2024.104931_bib0011","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1177\/0022034520969115","article-title":"Application of artificial intelligence in dentistry","volume":"100","author":"Shan","year":"2021","journal-title":"J. Dent. Res."},{"key":"10.1016\/j.jdent.2024.104931_bib0012","doi-asserted-by":"crossref","first-page":"508","DOI":"10.1016\/j.jds.2020.06.019","article-title":"Developments, application, and performance of artificial intelligence in dentistry - A systematic review","volume":"16","author":"Khanagar","year":"2021","journal-title":"J. Dent. Sci."},{"key":"10.1016\/j.jdent.2024.104931_bib0013","doi-asserted-by":"crossref","first-page":"5842","DOI":"10.1038\/s41598-020-62321-3","article-title":"Deep learning method for mandibular canal segmentation in dental cone beam computed tomography volumes","volume":"10","author":"Jaskari","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jdent.2024.104931_bib0014","doi-asserted-by":"crossref","first-page":"5711","DOI":"10.1038\/s41598-020-62586-8","article-title":"Automatic mandibular canal detection using a deep convolutional neural network","volume":"10","author":"Kwak","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jdent.2024.104931_bib0015","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1186\/s12903-021-01983-5","article-title":"Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network","volume":"21","author":"Lim","year":"2021","journal-title":"BMC Oral Health"},{"key":"10.1016\/j.jdent.2024.104931_bib0016","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2021.103891","article-title":"Development and validation of a novel artificial intelligence driven tool for accurate mandibular canal segmentation on CBCT","volume":"116","author":"Lahoud","year":"2022","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.104931_bib0017","doi-asserted-by":"crossref","first-page":"18598","DOI":"10.1038\/s41598-022-20605-w","article-title":"Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans","volume":"12","author":"J\u00e4rnstedt","year":"2022","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jdent.2024.104931_bib0018","doi-asserted-by":"crossref","first-page":"11500","DOI":"10.1109\/ACCESS.2022.3144840","article-title":"Deep segmentation of the mandibular canal: a new 3D annotated dataset of CBCT Volumes","volume":"10","author":"Cipriano","year":"2022","journal-title":"IEEE Access"},{"key":"10.1016\/j.jdent.2024.104931_bib0019","series-title":"Proceedings of the 2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"21137","article-title":"Improving segmentation of the inferior alveolar nerve through deep label propagation","author":"Cipriano","year":"2022"},{"key":"10.1016\/j.jdent.2024.104931_bib0020","doi-asserted-by":"crossref","first-page":"9877","DOI":"10.3390\/s22249877","article-title":"Dual-stage deeply supervised attention-based convolutional neural networks for mandibular canal segmentation in CBCT scans","volume":"22","author":"Usman","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.jdent.2024.104931_bib0021","doi-asserted-by":"crossref","first-page":"13460","DOI":"10.1038\/s41598-022-17341-6","article-title":"Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network","volume":"12","author":"Jeoun","year":"2022","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jdent.2024.104931_bib0022","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1007\/s00784-021-04082-5","article-title":"Deep learning-based evaluation of the relationship between mandibular third molar and mandibular canal on CBCT","volume":"26","author":"Liu","year":"2022","journal-title":"Clin. Oral Investig."},{"key":"10.1016\/j.jdent.2024.104931_bib0023","doi-asserted-by":"crossref","first-page":"2096","DOI":"10.1038\/s41467-022-29637-2","article-title":"A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images","volume":"13","author":"Cui","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.jdent.2024.104931_bib0024","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1016\/j.euf.2021.05.008","article-title":"Common pitfalls and recommendations for grand challenges in medical artificial intelligence","volume":"7","author":"Reinke","year":"2021","journal-title":"Eur. Urol. Focus"},{"key":"10.1016\/j.jdent.2024.104931_bib0025","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1038\/s41592-023-02151-z","article-title":"Metrics reloaded: recommendations for image analysis validation","volume":"21","author":"Maier-Hein","year":"2022","journal-title":"Nat. Methods"},{"key":"10.1016\/j.jdent.2024.104931_bib0026","series-title":"Common limitations of image processing metrics: a picture story","author":"Reinke","year":"2021"},{"key":"10.1016\/j.jdent.2024.104931_bib0027","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","article-title":"User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability","volume":"31","author":"Yushkevich","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.jdent.2024.104931_bib0028","doi-asserted-by":"crossref","first-page":"4593","DOI":"10.1007\/s00784-022-04427-8","article-title":"Detection and classification of mandibular fracture on CT scan using deep convolutional neural network","volume":"26","author":"Wang","year":"2022","journal-title":"Clin. Oral Investig."},{"key":"10.1016\/j.jdent.2024.104931_bib0029","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"key":"10.1016\/j.jdent.2024.104931_bib0030","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/LGRS.2018.2802944","article-title":"Road extraction by deep residual U-Net","volume":"15","author":"Zhang","year":"2018","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.jdent.2024.104931_bib0031","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/s11548-007-0125-1","article-title":"Statistical validation metric for accuracy assessment in medical image segmentation","volume":"2","author":"Popovic","year":"2007","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"10.1016\/j.jdent.2024.104931_bib0032","series-title":"Advances in Visual Computing","first-page":"234","article-title":"Optimizing intersection-over-union in deep neural networks for image segmentation","author":"Rahman","year":"2016"},{"key":"10.1016\/j.jdent.2024.104931_bib0033","doi-asserted-by":"crossref","DOI":"10.1259\/dmfr.20200611","article-title":"Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle","volume":"50","author":"Nishiyama","year":"2021","journal-title":"Dentomaxillofac. Radiol."},{"key":"10.1016\/j.jdent.2024.104931_bib0034","doi-asserted-by":"crossref","DOI":"10.1016\/j.jdent.2023.104607","article-title":"Robust automated teeth identification from dental radiographs using deep learning","volume":"136","author":"Xu","year":"2023","journal-title":"J. Dent."},{"key":"10.1016\/j.jdent.2024.104931_bib0035","doi-asserted-by":"crossref","first-page":"7074","DOI":"10.1002\/mp.15274","article-title":"Inferior alveolar canal segmentation based on cone-beam computed tomography","volume":"48","author":"Wei","year":"2021","journal-title":"Med. Phys."}],"container-title":["Journal of Dentistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0300571224001015?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0300571224001015?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T00:14:26Z","timestamp":1778631266000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0300571224001015"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":35,"alternative-id":["S0300571224001015"],"URL":"https:\/\/doi.org\/10.1016\/j.jdent.2024.104931","relation":{},"ISSN":["0300-5712"],"issn-type":[{"value":"0300-5712","type":"print"}],"subject":[],"published":{"date-parts":[[2024,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Towards clinically applicable automated mandibular canal segmentation on CBCT","name":"articletitle","label":"Article Title"},{"value":"Journal of Dentistry","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jdent.2024.104931","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"104931"}}