fast-stain-normalization
importedsoftware/fast-stain-normalization
:star2: GPU-accelerated stain normalization command line tool
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
- Documentation
- unknown
- Tags
- computational-pathology · cpp · deep-learning · digital-pathology · fast · histopathology-images · python · stain-normalization
- 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 · stain-normalization
Stain normalization tools for histological analysis and computational pathology
- FP-DSA-plugindigital-pathology · fast
Digital Slide Archive plugin to enable FAST deployment of pretrained CNNs for digital pathology
- deepslidehistopathology-images
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework…
- ACMILcomputational-pathology · digital-pathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikcomputational-pathology · digital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- CLAMcomputational-pathology · digital-pathology
Open source tools for computational pathology - Nature BME
- api.github.com/repos/andreped/fast-stain-normalizationretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-10-19, 25 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.
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/v1/entries/11.json→ .entries["fast-stain-normalization"]
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