README.md

---
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

> A multicenter testicular ultrasound resource for segmentation and
> parenchymal-inhomogeneity classification research.

![TesticulUS preview](assets/testiculus_previews.png)

| Collection | Annotations | Availability |
| --- | --- | --- |
| Two Italian clinical centers | Segmentation mask for every image | Via Ditto only |
| First 860 images | Parenchymal-inhomogeneity classification label | Via Ditto only |

## Overview

TesticulUS combines testicular ultrasound images acquired at two Italian
clinical centers. Every image is paired with a pixel-wise segmentation mask.
The first 860 images additionally provide labels for parenchymal inhomogeneity,
supporting both segmentation and classification research.

The preview panel shows representative examples with translucent teal mask
overlays. It is provided solely to illustrate the annotation format.

## Access

The complete dataset is not hosted on Hugging Face. Request and download it
through the [Ditto platform](https://ditto.ing.unimore.it/testiculus/).

## License

TesticulUS is released under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/).

## Citation

For segmentation use, 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}
}
```

For classification use, 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}
}
```