Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS).

By Martin O. Leach, C. Boggis, A. Dixon, D. Easton, R. Eeles, D. Evans, F. Gilbert, I. Griebsch, R. Hoff, P. Kessar and 7 more. The Lancet, 2005

1,093 citations recorded by the source corpus.

Subfields: Economics and Econometrics

View Paper: https://www.semanticscholar.org/paper/528e064c798186f20d99fa47c3c1d9441e814fdb

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Citations in the corpus

• Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization (2020, background): “Especially in dense breast, the sensitivity has been improved from 33–59% with mammography to 71–94% with DCE-MRI [5–9].”
• Breast cancer screening with imaging: recommendations from the Society of Breast Imaging and the ACR on the use of mammography, breast MRI, breast ultrasound, and other technologies for the detection of clinically occult breast cancer. (2010, neutral): “[60-65].”