BreasTomo-Synth: An in silico-generated Digital Breast Tomosynthesis dataset for AI-based tumor segmentation
Authors/Creators
Contributors
Description
BreastTomoSynth is an in silico-generated Digital Breast Tomosynthesis (DBT) dataset containing regions of interest (ROI) of spiculated tumours and healthy breast tissue. The tiff format files include in-silico-generated breast tumor images and their respective segmentation masks. Each ROI is of size 109x109 pixels. The dataset was created with VICTRE, an FDA-cleared software from Badano et al. [1]
Future dataset versions will include the complete DBT images and files with the insertion coordinates of each simulated tumor.
Notes
Files
DBT_dataset.zip
Files
(145.1 MB)
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Additional details
Additional titles
- Alternative title
- Synthetic digital breast tomosynthesis dataset with breast tumor segmentation masks
Related works
- References
- Journal article: 10.1001/jamanetworkopen.2018.5474 (DOI)
Funding
- Agencia Nacional de Investigación y Desarrollo
- Beca de Doctorado Nacional 21212497
Dates
- Available
-
2024-12-04v1
- Available
-
2026-08-22v1.1
Software
- Repository URL
- https://github.com/nacca-sudo/syntdbt
- Programming language
- Python