ResCap: Residual Capsules Network for Medical Image Segmentation
Chanh D. Tr. Nguyen, Huu-Hung Dao, Minh-Thanh Huynh, Tan Phu Ward · 2019
Convolutional neural networks (CNNs) have shown remarkable results for a wide range of task in computer vision.However, CNNs has the limitation of poor translation invariance and lack of information about pose; thus, it requires a lot of data.Capsule networks, however, have the ability to preserve information about the pose.In this paper, we present a capsule-based network for medical image segmentation.We adopt the contracting path of the U-Net architecture.The network achieves the same accuracy as U-Net but is much smaller (0.16% number of parameters compared with U-Net).