NCA Tutorial

Basma Oumanna, Lia Gaim, Nick Lemke

Keywords: Neural cellular automata, classification, segmentation

TL;DR: Minimal working examples of neural cellular automata (NCA) for medical image analysis providing an easy entry point for beginners.

Abstract:

Neural Cellular Automata (NCA) is a very niche research field, and more often than not, researchers have never heard of them. We are participating in the MICCAI Educational Challenge 2025 to broaden access to NCA knowledge and create an entry point, making it easier to get started! To become more familiar with NCAs and gain a deeper understanding of them across different tasks, we provide minimal working implementations in notebooks of several notable NCAs: Growing-NCA for generation, Med-NCA for image segmentation, and Classification NCA for classification.
Our repository can be found here: https://github.com/MECLabTUDA/NCA-tutorial

Submission Number: 8