napari-czann-segment
importedsoftware/napari-czann-segment
Semantic Segmention and Image2Image using DeepLearning ONNX models packaged as *.czann (or *.czseg) files.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- active
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/sebi06/napari-czann-segment
- Documentation
- unknown
- Tags
- apeer · czmodel · deep-learning · image2image · microscopy · onnxruntime · python · semantic-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.
- active-segmentationsemantic-segmentation
ActiveSegmentation: A Simulation Framework for Benchmarking Active Learning Strategies for 3D Medical Image Segmentation
- AgileFormersemantic-segmentation
This the repo for the paper tiltled "AgileFormer: Spatially Agile Transformer UNet for Medical Image Segmentation"
- DCSAU-Netsemantic-segmentation
[CIBM' 23]: A deeper and more compact split-attention U-Net for medical image segmentation
- HiFormersemantic-segmentation
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation (WACV 2023)
- med_segmentationsemantic-segmentation
semantic segmentation for magnetic resonance imaging
- medico-samsemantic-segmentation
Segment Anything for Medical Imaging
- api.github.com/repos/sebi06/napari-czann-segmentretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-30, 9 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
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