Mask-RCNN applied to ISIC 2018 lesion tasks.
problem Lesion boundary segmentation, attributes detection, and diagnosis.
method Mask-RCNN applied to ISIC 2018 challenge tasks with a trained model for task 1 and a simple voting procedure for task 3.
result Improved lesion diagnosis accuracy using Mask-RCNN.