标题： 皮肤病变分类使用深度神经网络 显示英文标题

标题： Skin Lesion Classification Using Deep Neural Network

摘要： 本文报告了我们为分类ISIC 2019挑战数据集的皮肤病变的皮肤镜图像（任务1）所开发的方法和技术，我们的方法旨在使用集成深度神经网络结合一些强大的技术来处理不平衡的数据集，这是该挑战的主要问题，以提高CNN模型的性能。 显示英文摘要

摘要： This paper reports the methods and techniques we have developed for classify dermoscopic images (task 1) of the ISIC 2019 challenge dataset for skin lesion classification, our approach aims to use ensemble deep neural network with some powerful techniques to deal with unbalance data sets as its the main problem for this challenge in a move to increase the performance of CNNs model.