LazySlide
importedsoftware/lazyslide
Accessible and interoperable whole slide image analysis
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- rendeirolab
- Country
- unknown
- Homepage
- lazyslide.rtfd.io/
- Repository
- github.com/rendeirolab/LazySlide
- Documentation
- unknown
- Tags
- deep-learning · digital-pathology
- 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.
- ACMILdigital-pathology
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)
- aestetikdigital-pathology
AESTETIK: Convolutional autoencoder for learning spot representations from spatial transcriptomics and morphology data
- anonymize-slide-python3-guidigital-pathology
Delete the label image to deidentify a whole-slide image (WSI) with an optional GUI
- breast-epithelium-segmentationdigital-pathology
🌸 Breast epithelium segmentation through IHC-guided supervision
- cellseg_gsontoolsdigital-pathology
Feature extraction from GEOJson nuclei and tissue segmentation maps
- cellseg_models.pytorchdigital-pathology
Encoder-Decoder Cell and Nuclei segmentation models
- api.github.com/repos/rendeirolab/LazySlideretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-07-28, 315 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/48.json→ .entries["lazyslide"]
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