Benchmark experiments in continual medical image segmentation reveal that no single method satisfies all clinical requirements, with replay-based approaches offering the best stability-plasticity trade-off while forward generalizability needs more attention.
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation[J]
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Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study
Benchmark experiments in continual medical image segmentation reveal that no single method satisfies all clinical requirements, with replay-based approaches offering the best stability-plasticity trade-off while forward generalizability needs more attention.