Analysis of Different Encoder-decoder-based Approaches for Biomedical Imaging Segmentation
Rong Zhang, Rongguo Zhang, Jiechao Ma, Huiling Zhang · 2020
Recently, CNNs (convolutional neural networks) have been widely used in the field of medical image segmentation. In particular, the encoder-decoder architectures represented by U-Net have achieved state-of-art segmentation effects and inspired many more elaborated networks, which adopt newer and more advanced network designs. To our knowledge, the comprehensive and detailed comparison among these improved versions from a multiplicity of points of view has not been conducted up to now.