Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks

[1] Advani P(2014)Current strategies for the prevention of breast cancer Breast Cancer Targets Ther 6 59-71

[2] Moreno-Aspitia A(2017)The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study Breast Cancer Res 19 67-278

[3] Wanders JOP(2016)Supplemental screening for breast cancer in women with dense breasts: a systematic review for the U.S. Preventive Services Task Force Ann Intern Med 164 268-236

[4] Holland K(2007)Mammographic density and the risk and detection of breast cancer N Engl J Med 356 227-76

[5] Karssemeijer N(2019)Breast cancer conspicuity on simultaneously acquired digital mammographic images versus digital breast tomosynthesis images Radiology 292 69-1252

[6] Melnikow J(2021)Accuracy of digital breast tomosynthesis for detecting breast cancer in the diagnostic setting: a systematic review and meta-analysis Korean J Radiol 22 1240-333

[7] Fenton JJ(2022)Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI) Eur Radiol 18 326-58

[8] Whitlock EP(2012)Reproducibility of BI-RADS breast density measures among community radiologists: a prospective cohort study Breast J 290 52-440

[9] Boyd NF(2019)Mammographic Breast density assessment using deep learning: clinical implementation Radiology 52 434-282

[10] Guo H(2017)Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer Invest Radiol 22 276-231

[1] Advani P(2014)Current strategies for the prevention of breast cancer Breast Cancer Targets Ther 6 59-71

[2] Moreno-Aspitia A(2017)The effect of volumetric breast density on the risk of screen-detected and interval breast cancers: a cohort study Breast Cancer Res 19 67-278

[3] Wanders JOP(2016)Supplemental screening for breast cancer in women with dense breasts: a systematic review for the U.S. Preventive Services Task Force Ann Intern Med 164 268-236

[4] Holland K(2007)Mammographic density and the risk and detection of breast cancer N Engl J Med 356 227-76

[5] Karssemeijer N(2019)Breast cancer conspicuity on simultaneously acquired digital mammographic images versus digital breast tomosynthesis images Radiology 292 69-1252

[6] Melnikow J(2021)Accuracy of digital breast tomosynthesis for detecting breast cancer in the diagnostic setting: a systematic review and meta-analysis Korean J Radiol 22 1240-333

[7] Fenton JJ(2022)Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI) Eur Radiol 18 326-58

[8] Whitlock EP(2012)Reproducibility of BI-RADS breast density measures among community radiologists: a prospective cohort study Breast J 290 52-440

[9] Boyd NF(2019)Mammographic Breast density assessment using deep learning: clinical implementation Radiology 52 434-282

[10] Guo H(2017)Deep learning in mammography: diagnostic accuracy of a multipurpose image analysis software in the detection of breast cancer Invest Radiol 22 276-231