Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

MLA

Nahhas, Omar S. M.El, et al. Joint Multi-Task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology. 2024. 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.2403.03891&authtype=sso&custid=ns315887.

APA

Nahhas, O. S. M. E., Wölflein, G., Ligero, M., Lenz, T., van Treeck, M., Khader, F., Truhn, D., & Kather, J. N. (2024). Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology.

Chicago

Nahhas, Omar S. M. El, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, and Jakob Nikolas Kather. 2024. “Joint Multi-Task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology.” 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.2403.03891&authtype=sso&custid=ns315887.