Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study

MLA

Teng-Fei Yu, et al. “Deep Learning Applied to Two-Dimensional Color Doppler Flow Imaging Ultrasound Images Significantly Improves Diagnostic Performance in the Classification of Breast Masses: A Multicenter Study.” Chinese Medical Journal, vol. 134, no. 4, Feb. 2021, pp. 415–24. EBSCOhost, https://doi.org/10.1097/CM9.0000000000001329.

APA

Teng-Fei Yu, Wen He, Cong-Gui Gan, Ming-Chang Zhao, Qiang Zhu, Wei Zhang, Hui Wang, Yu-Kun Luo, Fang Nie, Li-Jun Yuan, Yong Wang, Yan-Li Guo, Jian-Jun Yuan, Li-Tao Ruan, Yi-Cheng Wang, Rui-Fang Zhang, Hong-Xia Zhang, Bin Ning, Hai-Man Song, … Ning-Ning Wang. (2021). Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study. Chinese Medical Journal, 134(4), 415–424. https://doi.org/10.1097/CM9.0000000000001329

Chicago

Teng-Fei Yu, Wen He, Cong-Gui Gan, Ming-Chang Zhao, Qiang Zhu, Wei Zhang, Hui Wang, et al. 2021. “Deep Learning Applied to Two-Dimensional Color Doppler Flow Imaging Ultrasound Images Significantly Improves Diagnostic Performance in the Classification of Breast Masses: A Multicenter Study.” Chinese Medical Journal 134 (4): 415–24. doi:10.1097/CM9.0000000000001329.