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.
- tiatoolboxcomputational-pathology · digital-pathology · histopathology · stain-normalization
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
- torch-staintoolscomputational-pathology · digital-pathology · pytorch · stain-normalization
GPU-accelerated Stain Normalization and Augmentation in PyTorch
- GatedSRPcomputational-pathology · digital-pathology · histopathology · medical-imaging · pytorch
[BMVC 2026 Oral] Gated Spatial Redundancy Projection for Pathology Transformer Attentions
- fast-stain-normalizationcomputational-pathology · digital-pathology · stain-normalization
:star2: GPU-accelerated stain normalization command line tool
- MOOZYcomputational-pathology · digital-pathology · histopathology · medical-imaging
[ECCV 2026] A Patient-First Foundation Model for Computational Pathology
- prostate-cancer-detectiondigital-pathology · histopathology · medical-imaging · pytorch
CNN ensemble for prostate cancer Gleason grading
- 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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