Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation

arXiv:2404.06240v1 Announce Type: new
Abstract: Sharing synthetic medical images is a promising alternative to sharing real images that can improve patient privacy and data security. To get good results, existing methods for medical image synthesis must be manually adjusted when they are applied to unseen data. To remove this manual burden, we introduce a Hyperparameter-Free distributed learning method for automatic medical image Synthesis, Sharing, and Segmentation called HyFree-S3. For three diverse segmentation settings (pelvic MRIs, lung X-rays, polyp photos), the …

arxiv cs.cv data free hyperparameter image improving medical segmentation sharing data synthesis type