deep-histopath
importedsoftware/deep-histopath
A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- Apache-2.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- CODAIT
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/CODAIT/deep-histopath
- Documentation
- unknown
- Tags
- cancer-research · deep-learning · machine-learning · medical-imaging · medicine
- 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.
- metacancer-research · medical-imaging
:paperclip: About MIMBCD-UI Project
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Open-source cancer research using AI. Analyzing thousands of papers and running biochemical simulations to propose new approaches for targeting drug-resistant tumor cells. Free forever.…
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- aditmedicine
ADIT (Automated DICOM Transfer) is a swiss army knife to exchange DICOM data between various systems by using a convenient web frontend and DICOMweb compatible API client.
- api.github.com/repos/CODAIT/deep-histopathretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2019-03-07, 211 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/4.json→ .entries["deep-histopath"]
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