Deep learning-based approach for detecting signs of atrial septal defect on chest radiographs: a proof of concept study

MLA

Ryo Matsuoka, et al. Deep Learning-Based Approach for Detecting Signs of Atrial Septal Defect on Chest Radiographs: A Proof of Concept Study. Feb. 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...........472a0c9241bf9ab5c842efdbb5e4ff82&authtype=sso&custid=ns315887.

APA

Ryo Matsuoka, Hiroshi Akazawa, Satoshi Kodera, Katsura Soma, Hiroki Yagi, Masahiko Umei, Hiroshi Kadowaki, Junichi Ishida, Hiroki Shinohara, Susumu Katsushika, Hirotaka Ieki, Toshihiro Yamaguchi, Yasutomi Higashikuni, Katsuhito Fujiu, Kaoru Ito, Atsushi Yao, & Issei Komuro. (2022). Deep learning-based approach for detecting signs of atrial septal defect on chest radiographs: a proof of concept study.

Chicago

Ryo Matsuoka, Hiroshi Akazawa, Satoshi Kodera, Katsura Soma, Hiroki Yagi, Masahiko Umei, Hiroshi Kadowaki, et al. 2022. “Deep Learning-Based Approach for Detecting Signs of Atrial Septal Defect on Chest Radiographs: A Proof of Concept Study,” February. 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...........472a0c9241bf9ab5c842efdbb5e4ff82&authtype=sso&custid=ns315887.