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README.md

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+---
+pretty_name: TesticulUS
+license: cc-by-nc-sa-4.0
+task_categories:
+- image-segmentation
+- image-classification
+tags:
+- ultrasound
+- testicular-ultrasound
+- medical-imaging
+- segmentation
+- classification
+---
+
+# TesticulUS
+
+TesticulUS is a multicenter testicular ultrasound dataset collected at two
+Italian clinical centers. Each image has a pixel-wise segmentation mask. The
+first 860 images additionally include classification labels for parenchymal
+inhomogeneity.
+
+## Access
+
+The data are not hosted on Hugging Face. Download access is provided only
+through the [Ditto platform](https://ditto.ing.unimore.it/testiculus/).
+
+## License
+
+TesticulUS is released under the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license.
+
+## Citation
+
+If you use the data for segmentation, cite:
+
+```bibtex
+@inproceedings{morelli2026new,
+  title={A New Multicenter Testicular US Dataset and a Lightweight Cond-UNet for Generalization in US Segmentation},
+  author={Morelli, Nicola and Marchesini, Kevin and Santi, Daniele and Grana, Costantino and Bolelli, Federico and others},
+  booktitle={Proceedings of the British Machine Vision Conference},
+  year={2026}
+}
+```
+
+If you use the data for classification, cite:
+
+```bibtex
+@inproceedings{morelli2025enhancing,
+  title={Enhancing testicular ultrasound image classification through synthetic data and pretraining strategies},
+  author={Morelli, Nicola and Marchesini, Kevin and Lumetti, Luca and Santi, Daniele and Grana, Costantino and Bolelli, Federico},
+  booktitle={International Conference on Image Analysis and Processing},
+  pages={26--39},
+  year={2025},
+  organization={Springer}
+}
+```