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pavo

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data/pavo

PAthological Visualization Obsession - visualization playground for pado datasets

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

record
Category
Data & Standards
Subcategory
unknown
License
BSD-3-Clause(osi)
Status
dormant
Maturity
deployed
Organization
Bayer-Group
Country
unknown
Homepage
unknown
Documentation
unknown
Tags
digital-pathology · python · visualization
Regulatory
unknown
built by · 5

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.

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    Use MAP to explore EHR data for individual patients.

  • AMONUSEGdigital-pathology

    AMONuSeg

  • MuTILs_Panopticdigital-pathology

    Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.

  • NoCodeSegdigital-pathology

    🔬 Code-free deep segmentation for computational pathology

  • padodigital-pathology

    PAthological Data Obsession - cloud native digital pathology datasets

sources
  1. api.github.com/repos/Bayer-Group/pavo
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2023-07-19, 5 stars, license reported as BSD-3-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/1.json→ .entries["pavo"]

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