Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation

arXiv:2609.27217 · cs.CV, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

Aggregation — 12× in this paper · explained in 1 episode
Transformer — 12× in this paper · explained in 2 episodes
Benchmark — 11× in this paper · explained in 2 episodes
Ablation — 8× in this paper · explained in 1 episode
Redundancy — 6× in this paper · explained in 2 episodes
Sparsity — 6× in this paper · explained in 4 episodes
Accuracy — 5× in this paper · explained in 1 episode
Consistency — 5× in this paper · explained in 3 episodes
Core — 5× in this paper · explained in 2 episodes
Fractional Heat Conduction Operator — 4× in this paper
Regularization — 4× in this paper · explained in 3 episodes
nnU-Net — 3× in this paper · explained in 2 episodes
Activation Function — 2× in this paper · explained in 1 episode
Foundation Model — 2× in this paper · explained in 3 episodes
Foundation Models — 2× in this paper · explained in 7 episodes
Hypernetwork — 2× in this paper · explained in 2 episodes
Pruning — 2× in this paper · explained in 4 episodes
Pseudo-labeling — 2× in this paper · explained in 3 episodes
Semi-supervised Learning — 2× in this paper · explained in 4 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Attention-Guided Replacement — 1× in this paper
Generalization — 1× in this paper · explained in 13 episodes
Pseudo-labels — 1× in this paper · explained in 2 episodes
Semi-Supervised Learning (SSL) — 1× in this paper · explained in 2 episodes
Spatial Masking Consistency — 1× in this paper
Transformer Architecture — 1× in this paper · explained in 2 episodes

Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation

Terminology

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