CT-SCOPE: Annotated dataset of CT SCans for the automatic semantic segmentation of the Osseous structures of the Paranasal sinusEs
Creators
Description
Dataset of computed tomography (CT) scans of the paranasal sinuses collected from 6 distinct hospitals, using 4 different CT devices, and ensuring diverse recording conditions. The dataset includes CT axial scans from 40 subjects, 13 of which were manually annotated with a semantic segmentation of the osseous structures of the area surrounding the paranasal sinuses, while the remaining 27 subjects contain unannotated CT scans. The data was organized into raw DICOM files and was also stored as uncompressed PNG images. The dataset includes an average of 212±105 slices per subject, while the annotated subset contains 696 masks paired with their corresponding CT slice. To further enhance the dataset, a set of automatically delineated masks (i.e., pseudo-labels) is also included for the unannotated CT scans.
Files
Craneal_CT-main.zip
Files
(4.0 GB)
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Additional details
Related works
- Is described by
- Dataset: 10.1016/j.compmedimag.2025.102541 (DOI)
Funding
- Agencia Estatal de Investigación
- PID2021- 342 128469OB-I00
- Agencia Estatal de Investigación
- TED2021-131688B-I00
- Comunidad de Madrid
- Research actions on SARS-CoV-2 and COVID-19 disease with the REACT-UE resources of the European Regional Development Funds.
Software
- Repository URL
- https://github.com/BYO-UPM/Craneal_CT
- Programming language
- Python