ACS
importedsoftware/acs
Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- MECLabTUDA
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/MECLabTUDA/ACS
- Documentation
- unknown
- Tags
- continual-learning · hippocampus-segmentation · medical-image-segmentation
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- RARE-UNethippocampus-segmentation · medical-image-segmentation
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…
- MedCRP-CLcontinual-learning · medical-image-segmentation
MedCRP-CL: Continual Medical Image Segmentation via Bayesian Nonparametric Semantic Modality Discovery
- BrainCLcontinual-learning
Official repository of the paper titled "Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning"
- 3D-UCapsmedical-image-segmentation
3D-UCaps: 3D Capsules Unet for Volumetric Image Segmentation (MICCAI 2021)
- ACELossmedical-image-segmentation
Implementations of "Learning Euler's Elastica Model for Medical Image Segmentation"
- active-segmentationmedical-image-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- api.github.com/repos/MECLabTUDA/ACSretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-07-20, 14 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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