Deep-Learning Based Analyses of Mammograms to Improve the Estimation of Breast Cancer Risk.
Francesca Lizzi, Maria Evelina Fantacci, P. Oliva · CINECA IRIS Institutial research information system (University of Pisa) · 2019
Breast cancer is the most commonly diagnosed cancer among women worldwide. Survival rates strongly depend on early diagnosis, and for this reason mammographic screening is performed in developed countries. New artificial intelligence-based techniques have the potential to include and quantify fibroglandular (or dense) parenchyma in breast cancer risk models.