Dental Odontogenic Lesion CBCT and Histopathology Integrated Dataset for Benchmarking Deep Learning Algorithms.

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Bibliographic Details
Title: Dental Odontogenic Lesion CBCT and Histopathology Integrated Dataset for Benchmarking Deep Learning Algorithms.
Authors: Huang Z; School of Computer Science, The University of Sydney, Sydney, NSW, Australia., Xia T; School of Computer Science, The University of Sydney, Sydney, NSW, Australia., Wu T; Department of Oral & Maxillofacial Head Neck Oncology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine, Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China., Liu B; Department of Oral & Maxillofacial Head Neck Oncology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine, Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China., Huang S; State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine, Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China. shengfuh2006@whu.edu.cn.; Department of Orthodontics, School & Hospital of Stomatology, Wuhan University, Wuhan, China. shengfuh2006@whu.edu.cn., Bi L; School of Computer Science, The University of Sydney, Sydney, NSW, Australia.; Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China., Kim J; School of Computer Science, The University of Sydney, Sydney, NSW, Australia. jinman.kim@sydney.edu.au.
Source: Scientific data [Sci Data] 2026 Mar 27; Vol. 13 (1). Date of Electronic Publication: 2026 Mar 27.
Publication Type: Journal Article; Dataset
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2052-4463
DOI:10.1038/s41597-026-07112-7