ERGPNet: lesion segmentation network for COVID-19 chest X-ray images based on embedded residual convolution and global perception
Description
The Segmentation of infected areas from COVID-19 chest X-ray (CXR) images is of great significance for the diagnosis and treatment of patients. However, accurately and effectively segmenting infected areas of CXR images is still challenging due to
