Diffusion-Based Tumor Inpainting for Renal Segmentation under Clinical Data Scarcity

arXiv:2609.21698 · cs.CV · Submitted 2026-09-18 · Read on arXiv

cs.CV

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/Janspiry/Palette-Image-to-Image-Diffusion-Models

Terminology

• Diffusion Model — 16× in this paper · explained in 8 episodes
• nnU-Net — 10× in this paper · explained in 2 episodes
• Consistency — 9× in this paper · explained in 3 episodes
• Diffusion Models — 9× in this paper · explained in 6 episodes
• Data Augmentation — 8× in this paper · explained in 7 episodes
• Generative Model — 8× in this paper · explained in 2 episodes
• Generative Models — 8× in this paper · explained in 2 episodes
• Latent Diffusion Model — 4× in this paper · explained in 2 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Synthetic Data Generation — 3× in this paper · explained in 5 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Tartu University Hospital — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Synthesizing brain tumor images and annotations by combining progressive growing GAN and SPADE
• Auto-Encoding Variational Bayes
• Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study
• Score-Based Generative Modeling through Stochastic Differential Equations
• A Pragmatic Note on Evaluating Generative Models with Fr'echet Inception Distance for Retinal Image Synthesis

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