This academic competition has the aim to support students through the *Machine Learning for Imaging Data* course at the University School for Advanced Studies IUSS Pavia.

The target of the copmetition is to implement a model able to automatically discriminate *malignant* from *benign* lesions in breast ultrasound (US) studies.

The dataset and rules of submission are briefly described in the corresponding sections of this hosting page.
Here is a handy link to Kaggle's [competition documentation](https://www.kaggle.com/docs/competitions), which includes, among other things, instructions on [submitting predictions](https://www.kaggle.com/docs/competitions#making-a-submission).

Good luck and have fun!

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**DEADLINE**: 03/04/2025 01:00 PM

**PRIVATE LEADERBOARD RELEASE DATE**: 30/04/2025 01:05 PM