platipy
importedsoftware/platipy
Processing Library and Analysis Toolkit for Medical Imaging in Python
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
- pyplati
- Country
- unknown
- Homepage
- pyplati.github.io/platipy/
- Repository
- github.com/pyplati/platipy
- Documentation
- unknown
- Tags
- image-analysis · medical-imaging · python · registration · segmentation · visualization
- 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.
- ANTsRregistration · segmentation
R interface to the ANTs biomedical image processing library
- svrmedical-imaging · registration
[CVPR2024] Fully convolutional slice-to-volume reconstruction for single-stack MRI
- PSF_XYZ_Bead_Fitimage-analysis · visualization
Automatic detection of beads for PSF measurement from Z-Stacks using python-bioformats.
- cucimimage-analysis · medical-imaging
cuCIM - RAPIDS GPU-accelerated image processing library
- ITKimage-analysis · medical-imaging
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more…
- MedImagerimage-analysis · medical-imaging
A modern, cross-platform open-source DICOM viewer and medical image analysis tool, supporting smooth interaction, multi-format images, and advanced research features.
- api.github.com/repos/pyplati/platipyretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-05-20, 151 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/36.json→ .entries["platipy"]
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