{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T13:09:08Z","timestamp":1777381748346,"version":"3.51.4"},"reference-count":23,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T00:00:00Z","timestamp":1773619200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100019286","name":"Ajman University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019286","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Array"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.array.2026.100757","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T11:59:21Z","timestamp":1773748761000},"page":"100757","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["DentSurgNet: Automated surgical planning via YOLO-based instance segmentation of dental anomalies in panoramic X-rays"],"prefix":"10.1016","volume":"30","author":[{"given":"Mohammad","family":"Al Fahad Yeahea","sequence":"first","affiliation":[]},{"given":"Pranta","family":"Barua","sequence":"additional","affiliation":[]},{"given":"Rakib","family":"Noor Rashid","sequence":"additional","affiliation":[]},{"given":"Md","family":"Rakibul Islam","sequence":"additional","affiliation":[]},{"given":"Nasser","family":"Raqe Alqhtani","sequence":"additional","affiliation":[]},{"given":"Mahmud","family":"Uz Zaman","sequence":"additional","affiliation":[]},{"given":"Fawaz","family":"Alqahtani","sequence":"additional","affiliation":[]},{"given":"Khaled M.","family":"Alzahrani","sequence":"additional","affiliation":[]},{"given":"Wajdi A.","family":"Mohammed (Bin)","sequence":"additional","affiliation":[]},{"given":"Huda","family":"Abutayyem","sequence":"additional","affiliation":[]},{"given":"Maher","family":"AL Shayeb","sequence":"additional","affiliation":[]},{"given":"Ruba","family":"Odeh","sequence":"additional","affiliation":[]},{"given":"Asok","family":"Mathew","sequence":"additional","affiliation":[]},{"given":"Okba","family":"Mahmoud","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7131-1752","authenticated-orcid":false,"given":"Mohammad Khursheed","family":"Alam","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.array.2026.100757_bib1","article-title":"YOLO-v5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition","volume":"24","author":"Beser","year":"2024","journal-title":"BMC Med Imag"},{"issue":"3","key":"10.1016\/j.array.2026.100757_bib2","doi-asserted-by":"crossref","first-page":"76","DOI":"10.22514\/jocpd.2024.062","article-title":"Classification of presence of missing teeth in each quadrant using deep learning artificial intelligence on panoramic radiographs of pediatric patients","volume":"48","author":"Kim","year":"2024","journal-title":"J Clin Pediatr Dent"},{"issue":"3","key":"10.1016\/j.array.2026.100757_bib3","doi-asserted-by":"crossref","DOI":"10.3390\/signals6030040","article-title":"A deep learning approach to teeth segmentation and orientation from panoramic X-rays","volume":"6","author":"Deb","year":"2025","journal-title":"Signals"},{"issue":"4","key":"10.1016\/j.array.2026.100757_bib7","doi-asserted-by":"crossref","DOI":"10.3390\/electronics14040805","article-title":"YOLO-DentSeg: a lightweight real-time model for accurate detection and segmentation of oral diseases in panoramic radiographs","volume":"14","author":"Hua","year":"2025","journal-title":"Electronics"},{"issue":"3","key":"10.1016\/j.array.2026.100757_bib10","doi-asserted-by":"crossref","first-page":"189","DOI":"10.58496\/MJCS\/2024\/022","article-title":"Dental segmentation via enhanced YOLOv8 and image processing techniques","volume":"4","author":"Abed","year":"2024","journal-title":"Mesopotamian J Cybersecurity"},{"key":"10.1016\/j.array.2026.100757_bib4","doi-asserted-by":"crossref","first-page":"123891","DOI":"10.1109\/ACCESS.2023.3329364","article-title":"Multiclass segmentation using teeth attention modules for dental X-ray images","volume":"11","author":"Ghafoor","year":"2023","journal-title":"IEEE Access"},{"key":"10.1016\/j.array.2026.100757_bib5","article-title":"\u201cRadious: unveiling the enigma of dental radiology with BEIT adaptor and Mask2Former in semantic segmentation,\u201d","author":"Mashayekhi","year":"2023","journal-title":"arXiv preprint arXiv:2305 06236"},{"issue":"15","key":"10.1016\/j.array.2026.100757_bib6","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics13152512","article-title":"Deep learning in diagnosis of dental anomalies and diseases: a systematic review","volume":"13","author":"Sivari","year":"2023","journal-title":"Diagnostics"},{"key":"10.1016\/j.array.2026.100757_bib8","article-title":"\u201cInstance segmentation and teeth classification in panoramic X-rays,\u201d","author":"Budagam","year":"2024","journal-title":"arXiv preprint arXiv:2406 03747"},{"issue":"15","key":"10.1016\/j.array.2026.100757_bib9","doi-asserted-by":"crossref","DOI":"10.3390\/diagnostics15151961","article-title":"Detection of dental anomalies in digital panoramic images using YOLO: a next generation approach based on single stage detection models","volume":"15","author":"\u015eevik","year":"2025","journal-title":"Diagnostics"},{"key":"10.1016\/j.array.2026.100757_bib11","article-title":"Deep learning for early dental caries detection in bitewing radiographs","volume":"11","author":"Lee","year":"2021","journal-title":"Sci Rep"},{"key":"10.1016\/j.array.2026.100757_bib12","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.jdsr.2023.09.004","article-title":"Deep learning and artificial intelligence in dental diagnostic imaging","volume":"59","author":"Katsumata","year":"2023","journal-title":"Jpn Dent Sci Rev"},{"key":"10.1016\/j.array.2026.100757_bib13","doi-asserted-by":"crossref","DOI":"10.1186\/s12903-025-06349-9","article-title":"Deep learning for tooth detection and segmentation in panoramic radiographs: a systematic review and meta-analysis","volume":"25","author":"Bonfanti-Gris","year":"2025","journal-title":"BMC Oral Health"},{"key":"10.1016\/j.array.2026.100757_bib14","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-025-89219-2","article-title":"Deep learning-based prediction of possibility for immediate implant placement using panoramic radiography","volume":"15","author":"Mun","year":"2025","journal-title":"Sci Rep"},{"issue":"1","key":"10.1016\/j.array.2026.100757_bib15","doi-asserted-by":"crossref","DOI":"10.1051\/mbcb\/2025008","article-title":"Fully automated deep learning framework for detection and classification of impacted mandibular third molars in panoramic radiographs","volume":"31","author":"Veerabhadrappa","year":"2025","journal-title":"J Oral Med Oral Surg"},{"key":"10.1016\/j.array.2026.100757_bib16","doi-asserted-by":"crossref","DOI":"10.1038\/s41597-025-05906-9","article-title":"DenPAR: Annotated intra-oral periapical radiographs dataset for machine learning","volume":"12","author":"Rasnayaka","year":"2025","journal-title":"Sci Data"},{"issue":"7","key":"10.1016\/j.array.2026.100757_bib17","doi-asserted-by":"crossref","DOI":"10.3390\/technologies13070293","article-title":"A dual-stream dental panoramic X-ray image segmentation method based on transformer heterogeneous feature complementation","volume":"13","author":"Ma","year":"2025","journal-title":"Technologies"},{"issue":"13","key":"10.1016\/j.array.2026.100757_bib18","doi-asserted-by":"crossref","DOI":"10.3390\/jcm13133686","article-title":"Oral health status and treatment needs based on artificial intelligence (AI) dental panoramic radiograph (DPR) analysis: a cross-sectional study","volume":"13","author":"Turosz","year":"2024","journal-title":"J Clin Med"},{"key":"10.1016\/j.array.2026.100757_bib19","doi-asserted-by":"crossref","first-page":"100419","DOI":"10.1109\/ACCESS.2025.3576914","article-title":"SegAN for recognition of caries from 2D-Panoramic X-Ray images","volume":"13","author":"Naga Srinivasu","year":"2025","journal-title":"IEEE Access"},{"key":"10.1016\/j.array.2026.100757_bib23","author":"Jocher"},{"key":"10.1016\/j.array.2026.100757_bib21","series-title":"Roboflow universe","year":"2024"},{"key":"10.1016\/j.array.2026.100757_bib24","author":"Dwyer"},{"key":"10.1016\/j.array.2026.100757_bib22","author":"Mohammad Al Fahad"}],"container-title":["Array"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2590005626000809?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2590005626000809?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T09:21:44Z","timestamp":1777368104000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2590005626000809"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":23,"alternative-id":["S2590005626000809"],"URL":"https:\/\/doi.org\/10.1016\/j.array.2026.100757","relation":{},"ISSN":["2590-0056"],"issn-type":[{"value":"2590-0056","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"DentSurgNet: Automated surgical planning via YOLO-based instance segmentation of dental anomalies in panoramic X-rays","name":"articletitle","label":"Article Title"},{"value":"Array","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.array.2026.100757","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"100757"}}