Confidence-Aware Teacher-Student Distillation for 3D Medical Segmentation

arXiv:2609.23815 · cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.CV

Submitted: 2026-09-20

Updated: 2026-09-20

Terminology

• Foundation Model — 17× in this paper · explained in 3 episodes
• Pseudo-labels — 15× in this paper · explained in 2 episodes
• Distillation — 14× in this paper · explained in 2 episodes
• Consistency — 9× in this paper · explained in 3 episodes
• Teacher-Student Distillation — 9× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Ablation — 5× in this paper · explained in 1 episode
• Foundation Models — 5× in this paper · explained in 7 episodes
• nnU-Net — 5× in this paper · explained in 2 episodes
• Segmentation Masks — 4× in this paper · explained in 2 episodes
• Semi-supervised Learning — 4× in this paper · explained in 4 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Computational overhead — 3× in this paper · explained in 2 episodes
• Dice Similarity Coefficient — 3× in this paper
• Sparsity — 3× in this paper · explained in 4 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Contrastive Learning — 2× in this paper · explained in 5 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Pseudo-labeling — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Segment Anything Model — 2× in this paper
• Ablation Studies — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Left Atrium Segmentation Challenge — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Medical Segmentation Decathlon — 1× in this paper
• Segment Anything Model (SAM) — 1× in this paper · explained in 2 episodes
• Self-Supervised Learning — 1× in this paper · explained in 7 episodes
• Semi-Supervised Learning (SSL) — 1× in this paper · explained in 2 episodes
• Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes

Sources

• MedSAM2: Segment Anything in 3D Medical Images and Videos
• SAM 2: Segment Anything in Images and Videos

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