1 research outputs found
Automatic segmentation of skin lesions using deep learning
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.Comment: 4 pages, 1 figure, extended abstract of submission to ISIC 2018 skin
analysis challeng