HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease

1 code implementation • 5 Sep 2022 • Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd Schwedt, Baoxin Li

Therefore, this paper poses the research question of how to improve unsupervised anomaly detection by utilizing (1) an unannotated set of mixed images, in addition to (2) the set of healthy images as being used in the literature.

Image-to-Image Translation Translation +1