ES-Unet: U-shaped image segmentation network based on Transformer and CNN

As a computer-aided diagnosis technique, medical image segmentation can help doctors improve the accuracy and efficiency of disease diagnosis. In recent years, convolutional neural networks (CNNs) have made great progress in the field of medical image segmentation, and medical image segmentation networks using encoder-decoder and jump connection structures have a wide range of applications in the medical field.