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Deep learning-based detection of the second mesiobuccal canal in maxillary first molars using cone-beam computed tomography.

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Bibliographic Details
Title: Deep learning-based detection of the second mesiobuccal canal in maxillary first molars using cone-beam computed tomography.
Authors: Lin J; The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, 621000, P.R. China., Liu J; Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, China., Jiang Y; The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, 621000, P.R. China., Liu Y; The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, 621000, P.R. China., Wen B; The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, 621000, P.R. China., Li S; Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610043, China. lsh364052430@gmail.com., Li C; The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan, 621000, P.R. China. alexfairyland@163.com.
Source: BMC oral health [BMC Oral Health] 2026 Apr 09; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 09.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101088684 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6831 (Electronic) Linking ISSN: 14726831 NLM ISO Abbreviation: BMC Oral Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1472-6831
DOI:10.1186/s12903-026-08207-8