Data · dataset · 2025
A multimodal orthodontic dataset
Listed in ScienceDB
In recent years, orthodontic patients have placed growing attentions on facial changes.
Description
Orthodontic examinations have evolved to three-dimensional (3D) multimodality, laying the groundwork for the development of virtual orthodontic patients. Meanwhile, artificial intelligence (AI) assisted techniques can automatically register multimodal data and improve precision.
However, there remains a lack of orthodontic multimodal datasets. This dataset presents a multimodal orthodontic dataset comprising 523 data, including reconstructed Cone-Beam Computed Tomography (CBCT) data, partially registered oral scans and face scans. Among these, reconstructed CBCT data without registered multimodal data include dental anatomical landmarks.
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The data includes adolescents and adults, covering both permanent and mixed dentitions, along with Angle Class I, II, and III malocclusions, and facial types ranging from convex and concave to straight profiles. Providing a technical basis for AI-assisted construction of automated, high-precision, and realistic orthodontic virtual patients.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.29124 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Computed tomography 75% · Dentistry 70%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.29124 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3203 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:ct | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |