Automatic segmentation of skin lesions using deep learning

2018-07-13 · Joshua Peter Ebenezer, Jagath C. Rajapakse

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.

📄 PDF Abstract BibTeX arXiv:1807.04893

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JoshuaEbenezer/deep_segment 공식 구현

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Deep Learning

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