Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery

MLA

Franziska Mathis-Ullrich, et al. “Deep Learning for Semantic Segmentation of Organs and Tissues in Laparoscopic Surgery.” Current Directions in Biomedical Engineering, vol. 6, no. 1, Sept. 2020, pp. 1–11. 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=edsair&AN=edsair.doi.dedup.....cb96de67f66bae3470703ff9a36f56cd&authtype=sso&custid=ns315887.

APA

Franziska Mathis-Ullrich, Benjamin Müller, Stefan Laschewski, Tornike Davitashvili, Paul Maria Scheikl, Beat P. Müller-Stich, Anna Kisilenko, Martin Wagner, & Manuela Capek. (2020). Deep learning for semantic segmentation of organs and tissues in laparoscopic surgery. Current Directions in Biomedical Engineering, 6(1), 1–11.

Chicago

Franziska Mathis-Ullrich, Benjamin Müller, Stefan Laschewski, Tornike Davitashvili, Paul Maria Scheikl, Beat P. Müller-Stich, Anna Kisilenko, Martin Wagner, and Manuela Capek. 2020. “Deep Learning for Semantic Segmentation of Organs and Tissues in Laparoscopic Surgery.” Current Directions in Biomedical Engineering 6 (1): 1–11. 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=edsair&AN=edsair.doi.dedup.....cb96de67f66bae3470703ff9a36f56cd&authtype=sso&custid=ns315887.