Generating and evaluating synthetic data in digital pathology through diffusion models
Abstract Synthetic data is becoming a valuable tool for computational pathologists, aiding in tasks like data augmentation and addressing data scarcity and privacy. However, its use necessitates careful planning and evaluation to prevent the creation of clinically irrelevant artifacts. This manuscri...
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          | Main Authors: | , , , , , , , | 
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| Format: | Article | 
| Language: | English | 
| Published: | Nature Portfolio
    
        2024-11-01 | 
| Series: | Scientific Reports | 
| Online Access: | https://doi.org/10.1038/s41598-024-79602-w | 
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