Abstract
This short paper reports the algorithms we used and the evaluation performances for ISIC Challenge 2018. Our team participates in all the tasks in this challenge. In lesion segmentation task, the pyramid scene parsing network (PSPNet) is modified to segment the lesions. In lesion attribute detection task, the modified PSPNet is also adopted in a multi-label way. In disease classification task, the DenseNet-169 is adopted for multi-class classification.
Abstract (translated)
这篇简短的论文报告了我们使用的算法和ISIC Challenge 2018的评估表现。我们的团队参与了这一挑战中的所有任务。在病变分割任务中，修改金字塔场景解析网络（PSPNet）以对病变进行分割。在病变属性检测任务中，修改后的PSPNet也采用多标签方式。在疾病分类任务中，采用DenseNet-169进行多级分类。
URL
https://arxiv.org/abs/1807.08948
