Table 1 Publicly available oral datasets.
From: A multimodal dental dataset facilitating machine learning research and clinic services
Dataset | Number of image | Whether the data is paired | Objective of the study | Tooth classification | Updated | Year | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|
CT (3D) | PaX-ray (2D) | PeX-ray (2D) | missing teeth | denture | irregular | implanted teeth | |||||
TDD26 | / | 1000 | / | / | propel the development of AI-powered automated abnormality detection and classification in dental panoramic radiographs, enhance tooth segmentation algorithms, and the ability to distill the radiologist’s expertise into AI. | / | / | / | / | / | 2021 |
VSD27 | 30 | / | / | / | the Virtual Skeleton Database (VSD) is proposed as a centralized storage system where the data necessary to build statistical shape models can be stored and shared. | / | / | / | / | yes | 2013 |
Ref. 1 | / | / | 926 | / | identify and locate carious regions from dental images. | / | / | / | / | / | 2022 |
Ref. 44 | / | 95 | / | / | presents a fast and accurate method for automatic segmentation of mandible in panoramic radiographs. | / | / | / | / | / | 2015 |
Ref. 45 | / | 400 | 120 | / | presents benchmarks for a number of challenging tasks in dental X-ray image analysis. | / | / | / | / | / | 2018 |
The multimodal dental dataset29 | 329 | 8 | 16,203 | yes | publication of CBCT data of 169 patients with different oral problems and matching data of three modalities to facilitate the research of oral medicine. | 142 | 198 | 9 | 96 | yes | 2024 |
