| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: sample_id |
| dtype: string |
| - name: subset |
| dtype: string |
| - name: labeled |
| dtype: bool |
| splits: |
| - name: a_pxi_labeled |
| num_examples: 850 |
| - name: a_pxi_unlabeled |
| num_examples: 2650 |
| - name: c_pxi_labeled |
| num_examples: 50 |
| - name: c_pxi_unlabeled |
| num_examples: 450 |
| configs: |
| - config_name: default |
| data_files: |
| - split: a_pxi_labeled |
| path: data/a_pxi_labeled-* |
| - split: a_pxi_unlabeled |
| path: data/a_pxi_unlabeled-* |
| - split: c_pxi_labeled |
| path: data/c_pxi_labeled-* |
| - split: c_pxi_unlabeled |
| path: data/c_pxi_unlabeled-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-segmentation |
| tags: |
| - medical-imaging |
| - dental |
| - panoramic-x-ray |
| - tooth-segmentation |
| - semi-supervised |
| pretty_name: STS-2D-Tooth |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # STS-2D-Tooth |
|
|
| The 2D panoramic dental X-ray subset of the STS (Semi-supervised Teeth |
| Segmentation) multi-modal dataset, as released in |
| [Wang et al., *Scientific Data* **12**, 117 (2025)](https://doi.org/10.1038/s41597-024-04306-9) |
| and used in the MICCAI 2023 STS Challenge. |
|
|
| ## Composition |
|
|
| 4,000 panoramic X-ray images (PNG, 640x320, 3-channel grayscale-as-RGB) split |
| across two demographic subsets: |
|
|
| | Subset | Total | Labeled | Unlabeled | |
| |-----------------------|------:|--------:|----------:| |
| | A-PXI (adult) | 3,500 | 850 | 2,650 | |
| | C-PXI (child) | 500 | 50 | 450 | |
| | **Total** | 4,000 | 900 | 3,100 | |
|
|
| Masks are 1-bit binary tooth-region masks at the same resolution as the source |
| image. Annotations were initialized manually on a 300-image seed by 20 trained |
| dental practitioners, refined by an R2 U-Net assistant model, and quality-vetted |
| by 6 dentists. |
|
|
| ## Splits |
|
|
| - `a_pxi_labeled` (850) - adult panoramic X-rays with binary tooth masks |
| - `a_pxi_unlabeled` (2,650) - adult panoramic X-rays, no masks |
| - `c_pxi_labeled` (50) - paediatric panoramic X-rays with binary tooth masks |
| - `c_pxi_unlabeled` (450) - paediatric panoramic X-rays, no masks |
|
|
| For unlabeled splits the `mask` column is null. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{wang2025sts, |
| title = {A multi-modal dental dataset for semi-supervised deep learning image segmentation}, |
| author = {Wang, Yaqi and others}, |
| journal = {Scientific Data}, |
| volume = {12}, |
| pages = {117}, |
| year = {2025}, |
| doi = {10.1038/s41597-024-04306-9} |
| } |
| |
| @article{wang2024stschallenge, |
| title = {STS MICCAI 2023 Challenge: Grand challenge on 2D and 3D semi-supervised tooth segmentation}, |
| author = {Wang, Yaqi and others}, |
| journal = {arXiv:2407.13246}, |
| year = {2024} |
| } |
| ``` |
|
|
| ## License |
|
|
| CC-BY-4.0 (per the Zenodo release at |
| [zenodo.org/records/10597292](https://zenodo.org/records/10597292)). |
|
|
