Unsupervised model adaptation for source-free segmentation of medical images

Serban Stan, Mohammad Rostami

Abstract: Highlights•We develop a source free domain adaptation method for segmentation of medical images.•Our method relaxes the need for annotating a large amount of images to perform segmentation using deep learning.•We demonstrate that our algorithm is effective using real world benchmarks.