convolutional neural networks have been applied to a wide variety of computer
vision tasks. Recent advances in semantic segmentation have enabled their
application to medical image segmentation. While most CNNs u
本文介绍了一种高效的 3D 卷积神经网络,采用 3D multi-fiber unit 并使用 3D dilated convolutions 来构建多尺度特征表示,以达到实时密集体积分割的目的,并在 BraTS-2018 挑战数据集上的实验结果表明,该神经网络架构在高保真度的前提下大大降低了计算成本。