We won the 2018 ISIC Skin Lesion Classification Challenge!

As part of the MetaOptima R&D team, won the ISIC 2018 Disease Classification Challenge put on by the International Skin Imaging Collaboration. The task was to design and build a system to autmoatically diagnose a photo of a mole as one of seven diseases: Melanoma, melanocytic nevus, basal cell carcinoma, actinic keratosis, benign keratosis, dermatofibroma, and vascular lesion.

We won with a score of 88.5%, a significant 2.9% better than the second best team as visible on the Task 3 Leaderboard