Automatic segmentation of skin lesions using deep learning
Computer Vision and Pattern Recognition
2018-07-16 v1
Abstract
This paper summarizes the method used in our submission to Task 1 of the International Skin Imaging Collaboration's (ISIC) Skin Lesion Analysis Towards Melanoma Detection challenge held in 2018. We used a fully automated method to accurately segment lesion boundaries from dermoscopic images. A U-net deep learning network is trained on publicly available data from ISIC. We introduce the use of intensity, color, and texture enhancement operations as pre-processing steps and morphological operations and contour identification as post-processing steps.
Cite
@article{arxiv.1807.04893,
title = {Automatic segmentation of skin lesions using deep learning},
author = {Joshua Peter Ebenezer and Jagath C. Rajapakse},
journal= {arXiv preprint arXiv:1807.04893},
year = {2018}
}
Comments
4 pages, 1 figure, extended abstract of submission to ISIC 2018 skin analysis challenge