3D Randomized Connection Network with Graph-based Label Inference.

In this paper, a novel 3D deep learning network is proposed for brain magnetic resonance image segmentation with randomized connection, which can decrease the dependency between layers and increase the network capacity. The convolutional long-short term memory and the 3D convolution are employed as network units to capture the long-term and short-term 3D properties, respectively. To assemble these...