Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports

MLA

Kevin De Angeli, et al. “Using Ensembles and Distillation to Optimize the Deployment of Deep Learning Models for the Classification of Electronic Cancer Pathology Reports.” JAMIA Open, vol. 5, no. 3, May 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=edsair&AN=edsair.doi.dedup.....167809dd8ab30e648f3cccbb65d73b3c&authtype=sso&custid=ns315887.

APA

Kevin De Angeli, Shang Gao, Andrew Blanchard, Eric B Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, Stephen M Schwartz, Charles Wiggins, Linda Coyle, Lynne Penberthy, Georgia Tourassi, & Hong-Jun Yoon. (2022). Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports. JAMIA Open, 5(3).

Chicago

Kevin De Angeli, Shang Gao, Andrew Blanchard, Eric B Durbin, Xiao-Cheng Wu, Antoinette Stroup, Jennifer Doherty, et al. 2022. “Using Ensembles and Distillation to Optimize the Deployment of Deep Learning Models for the Classification of Electronic Cancer Pathology Reports.” JAMIA Open 5 (3). 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.....167809dd8ab30e648f3cccbb65d73b3c&authtype=sso&custid=ns315887.