Federated 3D multi-organ segmentation with partially labeled and unlabeled data.
Zhou ZhengYuichiro HayashiMasahiro OdaTakayuki KitasakaKazunari MisawaKensaku MoriPublished in: International journal of computer assisted radiology and surgery (2024)
This study considers a novel problem of multi-organ segmentation, which aims to develop a generalizable model using distributed, partially labeled, and unlabeled CT images. A practical framework is presented, which, through extensive validation, has proved to be an effective solution, demonstrating strong potential in addressing this challenging problem.