openmedical/registry
← registry

dogsled

imported

software/dogsled

Macenko normalisation of big medical slides

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
computer-vision · digital-pathology · pathology-image · python · whole-slide-image
Regulatory
unknown
built by · 1

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.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • ACMILdigital-pathology · pathology-image

    Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification (ECCV2024)

  • LabelSlidedigital-pathology · pathology-image

    LabelSlide is a slide annotation tool and label object bounding boxes in virtual slides (generally used in pathology)

  • opentiledigital-pathology · whole-slide-image

    Python library for reading tiles from wsi tiff-files.

  • SurvivMIL_COMPAYLdigital-pathology · whole-slide-image

    SurvivMIL: A multimodal, Multiple Instance Learning pipeline for survival outcome of Neuroblastoma Patients

  • wsidicomdigital-pathology · whole-slide-image

    Python package for reading DICOM WSI file sets.

  • deepslidepathology-image

    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…

sources
  1. api.github.com/repos/RhDm/dogsled
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-11-21, 4 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/7.json→ .entries["dogsled"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.