arxiv:2507.13830

Divide and Conquer: A Large-Scale Dataset and Model for Left-Right Breast MRI Segmentation

Published on Jul 18, 2025

MIC at DKFZ

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Authors:

Maximilian Rokuss ,

Benjamin Hamm ,

Yannick Kirchhoff ,

Abstract

A publicly available breast MRI dataset with left and right breast segmentation labels and a corresponding deep-learning model for segmentation is introduced.

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We introduce the first publicly available breast MRI dataset with explicit left and right breast segmentation labels, encompassing more than 13,000 annotated cases. Alongside this dataset, we provide a robust deep-learning model trained for left-right breast segmentation. This work addresses a critical gap in breast MRI analysis and offers a valuable resource for the development of advanced tools in women's health. The dataset and trained model are publicly available at: www.github.com/MIC-DKFZ/BreastDivider

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