Mammogram Density Assessment Dataset

Published: 24 November 2023| Version 2 | DOI: 10.17632/tdx3h2fn9v.2
Contributors:
Hamid Behravan,
,
,

Description

This dataset consists of mammogram images, complete with corresponding segmentation masks for dense tissue and breast area annotated by an expert radiologist. It is divided into two subsets: training and validation. For the training subset, our expert radiologist has also provided assessments of area-based breast density values in percentages. This dataset can be utilized for tasks such as segmentation and breast density estimation. The mammograms were sourced from the public VinDr-Mammo dataset, which can be found at [this link](^https://vindr.ai/datasets/mammo^). In this dataset, we have provided additional annotations, including both segmentation masks and density values. If you use the data in your research, please cite the following studies: Gudhe, N.R., Behravan, H., Sudah, M. et al. Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning. Sci Rep 12, 12060 (2022). https://doi.org/10.1038/s41598-022-16141-2 Hieu T. Nguyen et al. “A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography”. 2022. https://doi.org/10.1101/2022.03.07.22272009

Files

Institutions

Ita-Suomen yliopisto

Categories

Image Segmentation, Breast Imaging, Image Analysis (Medical Imaging), Breast Density, Image Analysis

Funding

Finnish Innovation Fund - Sitra

29330000451

Licence