Fast-nnUNet
importedsoftware/fast-nnunet
This is the official repository for Fast-nnUNet, a new fast model inference framework based on the nnUNet framework implementation.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/77even/Fast-nnUNet
- Documentation
- unknown
- Tags
- 2d-segmentation · 3d-segmentation · ct-scans · ct-segmentation · cuda · distillation · medical-image-analysis · medical-image-processing
- 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.
- MedNeXtct-segmentation · medical-image-analysis
[MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.
- ct-volume-preprocessingct-scans · medical-image-processing
End-to-end Python CT volume preprocessing pipeline to convert raw DICOMs into clean 3D numpy arrays for ML. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with…
- PCRLv2ct-scans · medical-image-analysis
An official implementation of PCRLv2 (pre-training and fine-tuning code are included).
- MedVisioncuda · medical-image-processing
Medical Image Vision Operators, such as RoIAlign, DCNv1, DCNv2 and NMS for both 2/3D images.
- AUDITmedical-image-analysis · medical-image-processing
AUDIT - Analysis & Evaluation Dashboard of Artificial Intelligence
- lungmaskmedical-image-analysis · medical-image-processing
Automated lung segmentation in CT
- api.github.com/repos/77even/Fast-nnUNetretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-12, 24 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/40.json→ .entries["fast-nnunet"]
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