Data · dataset · 2026
Adults’ dental cone beam computed tomography images dataset for detecting and classifying missing teeth
Listed in ScienceDB
Data file integrity correction (Version 2)Following a user report that the original Dataset.zip could not be extracted, we reproduced and investigated the issue.
Description
This update removes only the extraneous unreferenced data and corrects the ZIP64 container structure. No cases, DICOM images, JSON annotations, filenames, directory structure, data licence, recommended citation, or scientific conclusions were changed.Corrected file information:File name: Dataset_repaired.zipFile size: 23,534,221,851 bytesUsers who previously downloaded the affected Dataset.zip should discard the old file and download the corrected version.
We apologize for the inconvenience and thank the user who brought this issue to our attention.The zip file named "Dataset" contains our annotated dataset, which includes annotated missing teeth sites from 85 patients with 30,423 Cone Beam Computed Tomography (CBCT) slices, along with unannotated missing teeth sites from 73 patients with 29,555 CBCT slices. This resource is the first to provide three-dimensional (3D) annotations of missing teeth on CBCT images, enabling the training of deep learning models for automated implant planning.
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The zip file named "Code" contains the code used in the technical validation section (submit_paper) and a lightweight Python script (dicom_to_png_converter.py). This script automatically traverses the dataset folders, reads 3D DICOM series, and converts all slices sequentially into standard 2D image files (e.g., PNG format) with proper global contrast normalization. The zip file named "Visualization cases" contains several representative cases from different vendors (e.g., KaVo), and we uploaded their fully converted 2D PNG slices for immediate visual inspection.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.26465 ↗
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 · Social Science
- Inferred from text
- Computed tomography 75% · Image 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.26465 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| 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: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%) |
| concepts[modality].local:modality:image | 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 | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |