Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study
arXiv:2605.06160v1 Announce Type: new
Abstract: Continual learning (CL) is essential for deploying medical image segmentation models in clinical environments where imaging domains, anatomical targets, and diagnostic tasks evolve over time. However, co…