Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study

[1] Chen W(2016)Cancer statistics in China, 2015 CA Cancer J Clin 66 115-132

[2] Zheng R(2017)Breast cancer complexity: implications of intratumoral heterogeneity in clinical management Cancer Metastasis Rev 36 547-555

[3] Baade PD(2015)Clinical management of breast cancer heterogeneity Nat Rev Clin Oncol 12 381-394

[4] Haynes B(2014)Breast cancer intra-tumor heterogeneity Breast Cancer Res 16 210-10874

[5] Sarma A(2001)Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications Proc Natl Acad Sci U S A 98 10869-S35

[6] Nangia-Makker P(2015)Clinical implications of the intrinsic molecular subtypes of breast cancer Breast 24 S26-70

[7] Shekhar MP(2012)Comprehensive molecular portraits of human breast tumours Nature 490 61-209

[8] Zardavas D(2013)Prognostic significance of progesterone receptor–positive tumor cells within immunohistochemically defined luminal A breast cancer J Clin Oncol 31 203-48

[9] Irrthum A(2017)How could breast cancer molecular features contribute to locoregional treatment decision making? Crit Rev Oncol Hematol 110 43-159

[10] Swanton C(2015)Differences in clinical outcomes between luminal A and B type breast cancers according to the St. Gallen consensus 2013 J Breast Cancer 18 149-4696

[1] Chen W(2016)Cancer statistics in China, 2015 CA Cancer J Clin 66 115-132

[2] Zheng R(2017)Breast cancer complexity: implications of intratumoral heterogeneity in clinical management Cancer Metastasis Rev 36 547-555

[3] Baade PD(2015)Clinical management of breast cancer heterogeneity Nat Rev Clin Oncol 12 381-394

[4] Haynes B(2014)Breast cancer intra-tumor heterogeneity Breast Cancer Res 16 210-10874

[5] Sarma A(2001)Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications Proc Natl Acad Sci U S A 98 10869-S35

[6] Nangia-Makker P(2015)Clinical implications of the intrinsic molecular subtypes of breast cancer Breast 24 S26-70

[7] Shekhar MP(2012)Comprehensive molecular portraits of human breast tumours Nature 490 61-209

[8] Zardavas D(2013)Prognostic significance of progesterone receptor–positive tumor cells within immunohistochemically defined luminal A breast cancer J Clin Oncol 31 203-48

[9] Irrthum A(2017)How could breast cancer molecular features contribute to locoregional treatment decision making? Crit Rev Oncol Hematol 110 43-159

[10] Swanton C(2015)Differences in clinical outcomes between luminal A and B type breast cancers according to the St. Gallen consensus 2013 J Breast Cancer 18 149-4696