A Denoising Framework for Real-World Ultra-Low-Dose Lung CT Images Based on an Image Purification Strategy

arXiv:2510.07492 · cs.CV, cs.AI · Submitted 2025-10-08 · Read on arXiv

cs.CV, cs.AI

Submitted: 2025-10-08

Updated: 2025-11-19

DOI: 10.1007/978-981-92-3410-3_7

Code: https://github.com/MonkeyDadLufy/flow-matching

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

Terminology

• Flow Matching — 38× in this paper · explained in 8 episodes
• Diffusion Model — 11× in this paper · explained in 8 episodes
• Core — 8× in this paper · explained in 2 episodes
• Flow Matching Model — 8× in this paper · explained in 2 episodes
• Frequency-domain Flow Matching — 6× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Alignment — 5× in this paper · explained in 1 episode
• Common Mask — 5× in this paper
• Diffusion Models — 5× in this paper · explained in 6 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Ablation Studies — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Computed Tomography — 3× in this paper
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Latent Diffusion Model — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Patch Similarity Purification — 2× in this paper
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Diffusion Process — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Space — 1× in this paper · explained in 7 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Motivation for the Image Purification — 1× in this paper
• Self-Supervised Learning — 1× in this paper · explained in 8 episodes
• Trace — 1× in this paper · explained in 2 episodes
• U-net architecture — 1× in this paper · explained in 3 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• Flow Matching for Generative Modeling
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• Decoupled Weight Decay Regularization

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