Abstract: Medical image segmentation has made significant strides with the development of basic models. Specifically, models that combine CNNs with transformers can successfully extract both local and ...

Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...

Stimulus-based interventions using content with a positive body image or that did not focus on appearance were also identified, achieving moderate effects (ηp²<.07), as well as combined approaches ...