Skin cancer is one of the most common malignant tumors. In order to completely remove tumors and accurately identify and segment lesion areas, this paper proposes a skin lesion segmentation method based on U2Net. Firstly, deep separable convolution is used to replace conventional convolution for feature extraction of RSU blocks. Embedded branch structures are added at skip connections, and Receptive Field Block(RFB) modules are used to integrate semantic information at different scales. Then, Add Attention Gates (AG) and Normalization-based Attention Modules (NAM), which together form the NAM-...
