  This project applies Mask R-CNN method to ISIC 2018 challenge tasks: lesion
boundary segmentation (task1), lesion attributes detection (task 2), lesion
diagnosis (task 3), a solution to the latter is using a trained model for task
1 and a simple voting procedure.

Image and Video Processing;Machine Learning