Mammogram Density Assessment Dataset
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
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Institutions
- Ita-Suomen yliopisto
Categories
Funders
- Finnish Innovation Fund - SitraGrant ID: 29330000451