Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
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Jul 20, 2021 - Python
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hippocampus-segmentation
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This repository features RARE-UNet a resolution-aware 3D U-Net for adaptive medical segmentation. It uses multi-scale entry blocks and resolution-based routing to dynamically adjust the inference path to input resolution. Combined with consistency-based training, RARE-UNet delivers accurate, efficient segmentation across resolutions.
brain-mri dynamic-routing multi-scale medical-image-segmentation tumor-segmentation 3d-unet adaptive-inference resolution-aware consistency-training hippocampus-segmentation rare-unet
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Feb 5, 2026 - Python
Official PyTorch code base for our WACV 2025 published paper NCAadapt: Dynamic adaptation with domain-specific Neural Cellular Automata for continual hippocampus segmentation.
medical-imaging continual-learning medical-image-segmentation neural-cellular-automata hippocampus-segmentation
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Dec 4, 2024 - Jupyter Notebook
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