torchstain
importedsoftware/torchstain
Stain normalization tools for histological analysis and computational pathology
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- EIDOSLAB
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/EIDOSLAB/torchstain
- Documentation
- unknown
- Tags
- computational-pathology · digital-pathology · histopathology · medical-imaging · numpy · python · pytorch · 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.
- fast-stain-normalizationcomputational-pathology · digital-pathology · stain-normalization
:star2: GPU-accelerated stain normalization command line tool
- prostate-cancer-detectiondigital-pathology · histopathology · medical-imaging · pytorch
CNN ensemble for prostate cancer Gleason grading
- ACMILcomputational-pathology · digital-pathology · histopathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikcomputational-pathology · digital-pathology · histopathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- DeepSpotcomputational-pathology · digital-pathology · histopathology
DeepSpot: Deep learning model for predicting spatial transcriptomics from H&E histopathology images. Supports spot-level (Visium) and single-cell (Xenium) resolution.
- eosincomputational-pathology · digital-pathology · histopathology
Open infrastructure for whole-slide imaging — distributed tile serving, real-time AI, and modern annotation tooling.
- api.github.com/repos/EIDOSLAB/torchstainretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-11-13, 189 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/62.json→ .entries["torchstain"]
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