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arXiv · 1809.03917

A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images

Chengyao Qian·Ting Liu·Hao Jiang·Zhe Wang·Pengfei Wang·Mingxin Guan·Biao Sun
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Abstract

This report summarises our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation. We present a two-stage method for lesion segmentation with optimised training method and ensemble post-process. Our method achieves state-of-the-art performance on lesion segmentation and we win the first place in ISIC 2018 task1.

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Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang, Pengfei Wang, Mingxin Guan, Biao Sun. 2018-09-30. A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images. https://arxiv.org/abs/1809.03917

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