A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks—the Cohort of Screen-Aged Women (CSAW)
Karin Dembrower(Karolinska Institutet), Fredrik Strand(Karolinska University Hospital), Peter Lindholm(Karolinska Institutet)
Cited by 89
Related Papers
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
|The Lancet Digital Health|2023|316
External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms
|JAMA Oncology|2020|284
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study
|The Lancet Digital Health|2020|283
Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction
|Radiology|2019|160
A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
|Scientific Data|2025|40