Update README.md
Browse files
README.md
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: cc0-1.0
|
| 3 |
task_categories:
|
| 4 |
-
-
|
| 5 |
- image-segmentation
|
| 6 |
tags:
|
| 7 |
- medical
|
|
@@ -10,6 +10,8 @@ size_categories:
|
|
| 10 |
- 1K<n<10K
|
| 11 |
---
|
| 12 |
# T-SYNTH
|
|
|
|
|
|
|
| 13 |
|
| 14 |
<!-- Provide a quick summary of the dataset. -->
|
| 15 |
|
|
@@ -115,20 +117,20 @@ device_data_VICTREPhantoms_spic_1.1/fatty/2/5.0/SIM/D2_5.0_fatty.1/1/
|
|
| 115 |
The description how to use it could be found [here](https://github.com/DIDSR/tsynth-release/blob/main/code/README.md).
|
| 116 |
|
| 117 |
## Citation
|
| 118 |
-
|
| 119 |
-
```
|
| 120 |
@article{t-synth,
|
| 121 |
title={{T-SYNTH}: A Knowledge-Based Dataset of Synthetic Breast Images},
|
| 122 |
author={Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel Lago, Jana G. Delfino, Aldo Badano},
|
| 123 |
journal={MICCAI Open Data},
|
| 124 |
volume={},
|
| 125 |
pages={},
|
| 126 |
-
year={2025}
|
|
|
|
| 127 |
}
|
| 128 |
```
|
| 129 |
|
| 130 |
## Related Links
|
| 131 |
1. [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://cdrh-rst.fda.gov/victre-silico-breast-imaging-pipeline).
|
| 132 |
2. [M-SYNTH: A Dataset for the Comparative Evaluation of Mammography AI](https://cdrh-rst.fda.gov/m-synth-dataset-comparative-evaluation-mammography-ai).
|
| 133 |
-
|
| 134 |
-
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).
|
|
|
|
| 1 |
---
|
| 2 |
license: cc0-1.0
|
| 3 |
task_categories:
|
| 4 |
+
- object-detection
|
| 5 |
- image-segmentation
|
| 6 |
tags:
|
| 7 |
- medical
|
|
|
|
| 10 |
- 1K<n<10K
|
| 11 |
---
|
| 12 |
# T-SYNTH
|
| 13 |
+
Paper: [T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images](https://huggingface.co/papers/2507.04038)
|
| 14 |
+
|
| 15 |
|
| 16 |
<!-- Provide a quick summary of the dataset. -->
|
| 17 |
|
|
|
|
| 117 |
The description how to use it could be found [here](https://github.com/DIDSR/tsynth-release/blob/main/code/README.md).
|
| 118 |
|
| 119 |
## Citation
|
| 120 |
+
```bibtex
|
|
|
|
| 121 |
@article{t-synth,
|
| 122 |
title={{T-SYNTH}: A Knowledge-Based Dataset of Synthetic Breast Images},
|
| 123 |
author={Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel Lago, Jana G. Delfino, Aldo Badano},
|
| 124 |
journal={MICCAI Open Data},
|
| 125 |
volume={},
|
| 126 |
pages={},
|
| 127 |
+
year={2025},
|
| 128 |
+
url={https://huggingface.co/papers/2507.04038}
|
| 129 |
}
|
| 130 |
```
|
| 131 |
|
| 132 |
## Related Links
|
| 133 |
1. [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://cdrh-rst.fda.gov/victre-silico-breast-imaging-pipeline).
|
| 134 |
2. [M-SYNTH: A Dataset for the Comparative Evaluation of Mammography AI](https://cdrh-rst.fda.gov/m-synth-dataset-comparative-evaluation-mammography-ai).
|
| 135 |
+
3. [S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images](https://github.com/DIDSR/ssynth-release). MICCAI 2024.
|
| 136 |
+
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).
|