erikhelmut/neural-cellular-automata
combine neural nets and cellular automata
This project helps researchers and students working with medical images to explore complex, self-organizing systems. By combining neural networks and cellular automata, it takes a target image (like a medical scan) and generates a dynamic, evolving simulation that can grow or repair itself. It's designed for those studying emergent behavior in biological or physical systems, particularly in medical imaging research.
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Use this if you are a researcher or student interested in simulating complex, self-organizing patterns and emergent behavior, especially for tasks like modeling growth or repair in medical images.
Not ideal if you need a straightforward image classification or segmentation tool, or if you are not comfortable with deep learning concepts and Python development environments.
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Last pushed
Jul 08, 2023
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