GC -Net: Global context network for medical image segmentation

•A global context attention (GCA) block is proposed to combine high-level features and shallow features to produce more expressive global feature information.•A squeeze and excitation pyramid pooling (SEPP) block is proposed to preserve more spatial information.•We integrate the proposed GCA block and SEPP block with encoder-decoder structure for medical image segmentation of different tasks.