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British Journal of Cancer|June 25, 2021
Quantitative breast density analysis to predict interval and node-positive cancers in pursuit of improved screening protocols: a case-control studyElizabeth S Burnside, Lucy M Warren, Jonathan Myles, et al.
AJR. American Journal of Roentgenology|July 24, 2014
The effect of image processing on the detection of cancers in digital mammographyLucy M Warren, Rosalind M Given-Wilson, Matthew G Wallis, et al.
European Radiology|June 25, 2015
Breast cancer detection rates using four different types of mammography detectorsAlistair Mackenzie, Lucy M Warren, Matthew G Wallis, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|April 11, 2016
The relationship between cancer detection in mammography and image quality measurementsAlistair Mackenzie, Lucy M Warren, Matthew G Wallis, et al.
European Radiology|July 31, 2021
Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imagingAlistair Mackenzie, Emma L Thomson, Melissa Mitchell, et al.
The British Journal of Radiology|January 6, 2023
Lessons learned from independent external validation of an AI tool to detect breast cancer using a representative UK data setDominic Cushnan, Kenneth C Young, Dominic Ward, et al.
Nature Cancer|March 11, 2026
Impact of using artificial intelligence as a second reader in breast screening including arbitrationLucy M Warren, Jenny Venton, Kenneth C Young, et al.
Nature Cancer|March 11, 2026
Diagnostic accuracy, fairness and clinical implementation of AI for breast cancer screening: results of multicenter retrospective and prospective technical feasibility studiesChristopher J Kelly, Marc Wilson, Lucy M Warren, et al.
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