FastSegmentation
0.0.1Unsupervised Cell Segmentation by Fast Gaussian Processes
Overview
Performs fast Gaussian process-based segmentation of microscopy images using spatial smoothing and data-driven thresholding. Code based on Baracaldo, L., King, B., Yan, H., Lin, Y., Miolane, N., & Gu, M. (2025). "Unsupervised cell segmentation by fast Gaussian processes." arXiv preprint doi:10.48550/arXiv.2505.18902.
Install
Health
- ERROR r-oldrel-macos-arm64
- ERROR2026-06-096 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.0.1Latest2026-06-08 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-08
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 385 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("FastSegmentation")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.