This article presents the design, experiments and results of our solution submitted to the 2018 ISIC challenge: Skin Lesion Analysis Towards Melanoma Detection. We design a pipeline using state-of-the-art Convolutional Neural Network (CNN) models for a Lesion Boundary Segmentation task and a Lesion Diagnosis task.
@article{arxiv.1807.08332,
title = {Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks},
author = {Katherine M. Li and Evelyn C. Li},
journal= {arXiv preprint arXiv:1807.08332},
year = {2018}
}