What to Preserve, Where to Adapt: A Depth-Wise Analysis of Forgetting in Continual Gynecological Image Segmentation

arXiv:2608.13660 · cs.CV, cs.LG · Submitted 2026-08-13 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-08-13

Updated: 2026-09-10

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Adaptation — 73× in this paper · explained in 1 episode
Continual Learning — 35× in this paper · explained in 2 episodes
nnU-Net — 18× in this paper · explained in 2 episodes
Ablation — 13× in this paper · explained in 1 episode
Fine-Tuning — 9× in this paper · explained in 5 episodes
Regularization — 8× in this paper · explained in 3 episodes
Catastrophic Forgetting — 5× in this paper · explained in 5 episodes
Distribution Shift — 5× in this paper · explained in 5 episodes
Distillation — 4× in this paper · explained in 2 episodes
Pruning — 3× in this paper · explained in 4 episodes
Aggregation — 1× in this paper · explained in 1 episode
Benchmark — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Dice Similarity Coefficient — 1× in this paper
Elastic Weight Consolidation — 1× in this paper
Redundancy — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Segmentation Masks — 1× in this paper · explained in 2 episodes
U-net architecture — 1× in this paper · explained in 3 episodes

Sources

Related papers