2026-10-12T01:34:35Z https://www.scidb.cn/oai

10.57760/sciencedb.37727 2026-09-03T11:11:16Z

2026-09-03 TMJ-OD3D: A cone-beam CT Dataset for 3D Detection of Temporomandibular Joint Osseous Abnormalities doi:10.57760/sciencedb.37727 en TMJ-OD3D is an expert-annotated cone-beam computed tomography (CBCT) dataset for three-dimensional detection of temporomandibular joint (TMJ) osseous abnormalities. The dataset contains 1,043 de-identified CBCT examinations from 1,043 patients, corresponding to 2,086 left and right TMJs. For each patient, the released data include a de-identified DICOM image series containing TMJ-related axial slices, side-specific JSON annotation files for the left and right joints, and a patient-level metadata record including age, sex, and labels. The annotations provide joint-side-specific labels for TMJ osseous abnormalities and lesion localization using a structured 3D bounding-box representation. Each 3D box is encoded by a two-dimensional rectangular box drawn on a representative DICOM slice and the corresponding axial slice range over which the abnormality is visible. All annotations were generated and reviewed by oral and maxillofacial surgeons through an expert-consensus workflow. This dataset provides a resource for developing and evaluating AI models for TMJ abnormality classification, lesion localization, and 3D object detection in CBCT imaging. CBCT; Temporomandibular joint; 3d detection Wei Zhang Ziting Wen Li Zhang Qiu Luo Li Chang Yue Zhou Yanping Li Yihan Chen PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank