Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk

MLA

Lauritzen, Andreas D., et al. Robust Cross-Vendor Mammographic Texture Models Using Augmentation-Based Domain Adaptation for Long-Term Breast Cancer Risk. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2212.13439&authtype=sso&custid=ns315887.

APA

Lauritzen, A. D., von Euler-Chelpin, M. C., Lynge, E., Vejborg, I., Nielsen, M., Karssemeijer, N., & Lillholm, M. (2022). Robust Cross-vendor Mammographic Texture Models Using Augmentation-based Domain Adaptation for Long-term Breast Cancer Risk.

Chicago

Lauritzen, Andreas D., My Catarina von Euler-Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, and Martin Lillholm. 2022. “Robust Cross-Vendor Mammographic Texture Models Using Augmentation-Based Domain Adaptation for Long-Term Breast Cancer Risk.” http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsarx&AN=edsarx.2212.13439&authtype=sso&custid=ns315887.