Abstract: Neural Cellular Automata Learn and Predict on Low-Power Devices

Nick Lemke, Mirko Konstantin, Henry Krumb, John Kalkhof, Anirban Mukhopadhyay

Abstract: Various deep-learning architectures have been proposed for medical image analysis in recent times. For example, the U-Net-based models, not to forget the nnU-Net framework, set the current gold standard in medical image segmentation. More recently, vision transformers have been adopted for medical image processing, improving accuracy even further.