Package: FastSegmentation 0.0.1

FastSegmentation: Unsupervised Cell Segmentation by Fast Gaussian Processes

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>.

Authors:Blythe King [aut, cre], Haoran Yan [aut], Laura Baracaldo [aut], Mengyang Gu [aut]

FastSegmentation_0.0.1.tar.gz
FastSegmentation_0.0.1.zip(r-4.7)FastSegmentation_0.0.1.zip(r-4.6)FastSegmentation_0.0.1.zip(r-4.5)
FastSegmentation_0.0.1.tgz(r-4.6-any)FastSegmentation_0.0.1.tgz(r-4.5-any)
FastSegmentation_0.0.1.tar.gz(r-4.7-any)FastSegmentation_0.0.1.tar.gz(r-4.6-any)
FastSegmentation_0.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FastSegmentation/json (API)

# Install 'FastSegmentation' in R:
install.packages('FastSegmentation', repos = c('https://blytheking.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 8 exports 46 dependencies

Last updated from:c3cacb7c94. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK131
source / vignettesOK172
linux-release-x86_64OK131
macos-release-arm64OK212
macos-oldrel-arm64OK252
windows-develOK96
windows-releaseOK90
windows-oldrelOK88
wasm-releaseOK128

Exports:criterion_1eliminate_small_areasgenerate_GP_Masksget_proportionmatrix_whichpredict_separable_GPseparable_GP_param_estthreshold_image

Dependencies:abindbase64encBiocGenericsbitopsbslibcachemclicurldigestEBImageevaluatefastmapfftwtoolsfontawesomefsgenericshighrhtmltoolshtmlwidgetsjpegjquerylibjsonliteknitrlatticelifecyclelocfitmagickmagrittrmemoisemimenloptrpngpracmaR6rappdirsRcppRcppEigenRCurlrlangrmarkdownRobustGaSPsasstifftinytexxfunyaml