Related references
Note: Only part of the references are listed.Finding the optimal mammography screening strategy: A cost-effectiveness analysis of 920 modelled strategies
Lindy M. Kregting et al.
INTERNATIONAL JOURNAL OF CANCER (2022)
A Review of Applications of Machine Learning in Mammography and Future Challenges
Sai Batchu et al.
ONCOLOGY (2021)
International evaluation of an AI system for breast cancer screening
Scott Mayer McKinney et al.
NATURE (2020)
Volumetric breast density affects performance of digital screening mammography
Johanna O. P. Wanders et al.
BREAST CANCER RESEARCH AND TREATMENT (2017)
Evaluation of a Stratified National Breast Screening Program in the United Kingdom: An Early Model-Based Cost-Effectiveness Analysis
Ewan Gray et al.
VALUE IN HEALTH (2017)
Cost of care for cancer patients in England: evidence from population-based patient-level data
Mauro Laudicella et al.
BRITISH JOURNAL OF CANCER (2016)
Costs of cancer care for use in economic evaluation: a UK analysis of patient-level routine health system data
P. S. Hall et al.
BRITISH JOURNAL OF CANCER (2015)
The Nottingham Prognostic Index: five- and ten-year data for all-cause Survival within a Screened Population
Y. Fong et al.
ANNALS OF THE ROYAL COLLEGE OF SURGEONS OF ENGLAND (2015)
Quantifying the natural history of breast cancer
K. H. X. Tan et al.
BRITISH JOURNAL OF CANCER (2013)
Cost effectiveness of the NHS breast screening programme: life table model
Paul D. P. Pharoah et al.
BMJ-BRITISH MEDICAL JOURNAL (2013)
Breast cancer tumor growth estimated through mammography screening data
Harald Weedon-Fekjaer et al.
BREAST CANCER RESEARCH (2008)
Accuracy of screening mammography using single versus independent double interpretation
SH Taplin et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2000)
Share Paper
