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README.md
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---
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license: cc0-1.0
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task_categories:
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- image-segmentation
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tags:
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- medical
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- 1K<n<10K
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---
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# T-SYNTH
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<!-- Provide a quick summary of the dataset. -->
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The description how to use it could be found [here](https://github.com/DIDSR/tsynth-release/blob/main/code/README.md).
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## Citation
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```
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@article{t-synth,
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title={{T-SYNTH}: A Knowledge-Based Dataset of Synthetic Breast Images},
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author={Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel Lago, Jana G. Delfino, Aldo Badano},
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journal={MICCAI Open Data},
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volume={},
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pages={},
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year={2025}
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}
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```
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## Related Links
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1. [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://cdrh-rst.fda.gov/victre-silico-breast-imaging-pipeline).
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2. [M-SYNTH: A Dataset for the Comparative Evaluation of Mammography AI](https://cdrh-rst.fda.gov/m-synth-dataset-comparative-evaluation-mammography-ai).
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4. [FDA Catalog of Regulatory Science Tools to Help Assess New Medical Devices](https://www.fda.gov/medical-devices/science-and-research-medical-devices/catalog-regulatory-science-tools-help-assess-new-medical-devices).
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---
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license: cc0-1.0
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task_categories:
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- object-detection
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- image-segmentation
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tags:
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- medical
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- 1K<n<10K
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---
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# T-SYNTH
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Paper: [T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images](https://huggingface.co/papers/2507.04038)
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<!-- Provide a quick summary of the dataset. -->
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The description how to use it could be found [here](https://github.com/DIDSR/tsynth-release/blob/main/code/README.md).
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## Citation
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```bibtex
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@article{t-synth,
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title={{T-SYNTH}: A Knowledge-Based Dataset of Synthetic Breast Images},
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author={Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel Lago, Jana G. Delfino, Aldo Badano},
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journal={MICCAI Open Data},
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volume={},
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pages={},
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year={2025},
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url={https://huggingface.co/papers/2507.04038}
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}
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```
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## Related Links
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1. [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://cdrh-rst.fda.gov/victre-silico-breast-imaging-pipeline).
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2. [M-SYNTH: A Dataset for the Comparative Evaluation of Mammography AI](https://cdrh-rst.fda.gov/m-synth-dataset-comparative-evaluation-mammography-ai).
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3. [S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images](https://github.com/DIDSR/ssynth-release). MICCAI 2024.
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4. [FDA Catalog of Regulatory Science Tools to Help Assess New Medical Devices](https://www.fda.gov/medical-devices/science-and-research-medical-devices/catalog-regulatory-science-tools-help-assess-new-medical-devices).
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