The loss function is an important part of the segmentation method based on deep learning, and the improvement of the loss function can improve the segmentation effect of the network from the root, however, there are few literatures to do specific analysis and summary of various types of loss functions, this paper summaries some commonly used loss functions from the common problems ...

Medical image segmentation has a vital role in disease diagnosis and treatment. The feature enhancement module and a mask embedding block for medical image segmentation is proposed. This method utilizes an encoder-decoder architecture with attention mechanism and residual connections to adaptively adjust the importance of each layer of features. The proposed network achieves ...