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NucleiMix: Realistic data augmentation for nuclei instance segmentation

delete2025-08-18
delete0
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OA
AI
J
Jiamu Wang
J
Jin Tae Kwak *
DOI：10.1016/j.compbiomed.2025.110901delete
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Abstract

Abstract

En 中文
• Propose NucleiMix, a two-step data augmentation for realistic nuclei synthesis. • Introduce context-aware sampling to match nuclei with similar local environments. • Introduce progressive inpainting to seamlessly blend nuclei into new environments. • Evaluate on three datasets and two models, surpassing existing augmentation methods.
Keywords:
Data augmentation
Diffusion model
Nuclei instance segmentation
Pathology

Journal

Computers in Biology and Medicine cover
Computers in Biology and Medicine
IF:
6.3
Papers:
8.3K
Citations:
3.3W

Organization

No organization information available
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