汉译英：UNet++为UNet深度学习神经网络添加了密集的跳层链接可以产生更灵活的特征融合方案使特征学习更有效。同时UNet++通过集成不同深度的UNet减少了未知网络深层问题引起的训练误差

UNet++ adds dense skip connections to the UNet deep learning neural network, which can generate more flexible feature fusion schemes and make feature learning more effective. At the same time, UNet++ reduces training errors caused by unknown network depths by integrating different depths of UNet.