Deep learning models are now the go-to method for segmenting medical images. However, using these models usually requires a large set of manually labeled data, which is expensive and time-consuming.

The alternative text for this image may have been generated using AI. We propose a new contrastive learning framework for UDA on semantic segmentation by integrating the pixel-to-pixel and ...