SCU‐Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms.

MLA

Guo, Xiaoyuan, et al. “SCU‐Net: A Deep Learning Method for Segmentation and Quantification of Breast Arterial Calcifications on Mammograms.” Medical Physics, vol. 48, no. 10, Oct. 2021, pp. 5851–61. EBSCOhost, https://doi.org/10.1002/mp.15017.

APA

Guo, X., O’Neill, W. C., Vey, B., Yang, T. C., Kim, T. J., Ghassemi, M., Pan, I., Gichoya, J. W., Trivedi, H., & Banerjee, I. (2021). SCU‐Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms. Medical Physics, 48(10), 5851–5861. https://doi.org/10.1002/mp.15017

Chicago

Guo, Xiaoyuan, W. Charles O’Neill, Brianna Vey, Tianen Christopher Yang, Thomas J. Kim, Maryzeh Ghassemi, Ian Pan, Judy Wawira Gichoya, Hari Trivedi, and Imon Banerjee. 2021. “SCU‐Net: A Deep Learning Method for Segmentation and Quantification of Breast Arterial Calcifications on Mammograms.” Medical Physics 48 (10): 5851–61. doi:10.1002/mp.15017.