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arXiv · 1807.04893

Automatic segmentation of skin lesions using deep learning

Joshua Peter Ebenezer·Jagath C. Rajapakse
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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.

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Joshua Peter Ebenezer, Jagath C. Rajapakse. 2018-07-13. Automatic segmentation of skin lesions using deep learning. https://arxiv.org/abs/1807.04893

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