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Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks (1807.08332v1)

Published 22 Jul 2018 in cs.CV

Abstract: 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.

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Authors (2)
  1. Katherine M. Li (1 paper)
  2. Evelyn C. Li (1 paper)
Citations (24)

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