The provided source is a scientific article published in Nature Scientific Reports. The paper introduces a deep learning model designed for predicting mammographic breast density. This research utilizes screening data to train and evaluate the model's capabilities.
The goal of this work is likely to improve the automation and accuracy of breast density assessment, a crucial factor in breast cancer risk evaluation.