Participation to the ENS Data Challenge: 'Screening and Diagnosis of esophageal cancer from in-vivo microscopy images' by Mauna Kea Technologies
Currently 10th on leaderboard, scoring 92.8% accurracy on test set, using ensemble model of different CNN architectures with heavy data augmentation.