MDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

arXiv:1812.00352v3 Announce Type: replace
Abstract: Biomedical image segmentation plays a central role in quantitative analysis, clinical diagnosis, and medical intervention. In the light of the fully convolutional networks (FCN) and U-Net, deep convolutional networks (DNNs) have made significant contributions to biomedical image segmentation applications. In this paper, we propose three different multi-scale dense connections (MDC) for the encoder, the decoder of U-shaped architectures, and across them. Based on three dense connections, we propose a multi-scale densely connected U-Net (MDU-Net) for …

abstract analysis applications arxiv biomedical clinical cs.cv diagnosis image light medical networks paper quantitative quantitative analysis role scale segmentation type