Author:
Lee Hyeonsoo,Kim Junha,Park Eunkyung,Kim Minjeong,Kim Taesoo,Kooi Thijs
Publisher
Springer Nature Switzerland
Reference34 articles.
1. Bakker, M.F., et al.: Supplemental MRI screening for women with extremely dense breast tissue. N. Engl. J. Med. 381(22), 2091–2102 (2019)
2. Boyd, N.F.: Mammographic density and risk of breast cancer. Am. Soc. Clin. Oncol. Educ. Book 33(1), e57–e62 (2013)
3. Brentnall, A.R., Cuzick, J.: Risk models for breast cancer and their validation. Stat. Sci. Rev. J. Inst. Math. Stat. 35(1), 14 (2020)
4. Brentnall, A.R., et al.: Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Res. 17, 1–10 (2015)
5. Dadsetan, S., Arefan, D., Berg, W.A., Zuley, M.L., Sumkin, J.H., Wu, S.: Deep learning of longitudinal mammogram examinations for breast cancer risk prediction. Pattern Recogn. 132, 108919 (2022)
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