RichardObi/ccnet
Official repository of "Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models"
This project helps medical researchers and radiologists generate realistic medical images, specifically breast MRI scans, with controlled contrast agent behavior. It takes existing medical image datasets and associated metadata (like scanner and contrast information) as input. The output is synthetic MRI images that mimic real patient scans, useful for research, training, and testing. It's designed for medical imaging scientists, researchers, and potentially radiologists interested in synthetic data generation.
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Use this if you need to generate synthetic medical images, particularly breast MRI scans with specific contrast agent dynamics, for research or analysis.
Not ideal if you are looking for a general-purpose image generation tool for domains outside of medical imaging, or if you need to analyze existing medical images rather than generate new ones.
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8
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1
Language
Python
License
Apache-2.0
Category
Last pushed
May 05, 2025
Commits (30d)
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