cucim
importedsoftware/cucim
cuCIM - RAPIDS GPU-accelerated image processing library
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
- rapidsai
- Country
- unknown
- Homepage
- docs.rapids.ai/api/cucim/stable/
- Repository
- github.com/rapidsai/cucim
- Documentation
- unknown
- Tags
- computer-vision · cuda · digital-pathology · gpu · image-analysis · image-data · image-processing · medical-imaging
- 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.
- fastddmcuda · gpu · image-processing
Python library for Differential Dynamic Microscopy analysis
- ffdascuda · gpu · image-processing
GPU-accelerated delay-and-sum and related primitives for volumetric ultrasound and photoacoustic image reconstruction
- NIPETcuda · gpu · medical-imaging
High-throughput PET image reconstruction with high quantitative accuracy and precision
- OMEGAcuda · gpu · medical-imaging
Open-source multi-dimensional tomographic reconstruction software (OMEGA)
- n4axgpu · image-processing · medical-imaging
JAX/GPU N4 bias field correction — a fast drop-in match for SimpleITK N4 (~2600x faster on A100, <0.2% match)
- sleek-patchcomputer-vision · digital-pathology · image-processing
Python 3 Package for optimally sampling big images with texture-aware patchification based on SLIC superpixels. So Sleek !
- api.github.com/repos/rapidsai/cucimretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-05, 467 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/4.json→ .entries["cucim"]
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