DEDector
importedsoftware/dedector
DEDector: Smartphone-Based Noninvasive Screening of Dry Eye Disease
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- maintained
- Maturity
- deployed
- Organization
- microsoft
- Country
- unknown
- Homepage
- dl.acm.org/doi/10.1145/3699742
- Repository
- github.com/microsoft/DEDector
- Documentation
- unknown
- Tags
- diagnostics · dryeye · health · ophthalmology
- 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.
- adaptDiagdiagnostics
Implement Bayesian adaptive design for diagnostic test clinical trials.
- GermlineEnrichmentdiagnostics
Variant calling pipeline for germline enrichment NGS data
- Jovian_archivediagnostics
Metagenomics/viromics pipeline that focuses on automation, user-friendliness and a clear audit trail. Jovian aims to empower classical biologists and wet-lab personnel to do metagenomics/viromics…
- omicsDiagnosticsdiagnostics
This repository contains different scripts to automate and visualize analysis performed for the "Integration of proteomics with genomics and transcriptomics increases the diagnosis rate of Mendelian…
- paper-based-microfluidicsdiagnostics
My undergraduate honours project on paper-based microfluidics for animal disease detection
- rarediseasediagnostics
Call and score variants from WGS/WES of rare disease patients.
- api.github.com/repos/microsoft/DEDectorretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2025-06-20, 4 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/31.json→ .entries["dedector"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.