pado
importeddata/pado
PAthological Data Obsession - cloud native digital pathology datasets
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Data & Standards
- Subcategory
- unknown
- License
- BSD-3-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- Bayer-Group
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/Bayer-Group/pado
- Documentation
- unknown
- Tags
- digital-pathology · python
- 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.
- 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
- pavodigital-pathology
PAthological Visualization Obsession - visualization playground for pado datasets
- 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
- api.github.com/repos/Bayer-Group/padoretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2023-03-01, 18 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 →
/v1/entries/31.json→ .entries["pado"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.