torchvahadane
importedsoftware/torchvahadane
Gpu accelerated vahadane stain normalization for Digital Pathology workflows.
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
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/cwlkr/torchvahadane
- Documentation
- unknown
- Tags
- computational-pathology · deep-learning · digital-pathology · domain-adaptation · domain-shift · gpu-acceleration · pathology · pytorch
- 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.
- torchstaincomputational-pathology · digital-pathology · pytorch
Stain normalization tools for histological analysis and computational pathology
- tcga_segmentationcomputational-pathology · pathology
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
- anonymize-slide-python3-guidigital-pathology · pathology
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
- eovdigital-pathology · pathology
A lightweight, cross-platform Whole Slide Image (WSI) viewer for digital pathology.
- eov-annotations-plugindigital-pathology · pathology
Annotations plugin for EOV, a lightweight WSI viewer.
- histolabdigital-pathology · pathology
Library for Digital Pathology Image Processing
- api.github.com/repos/cwlkr/torchvahadaneretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2024-02-23, 28 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/21.json→ .entries["torchvahadane"]
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