Package: FastSegmentation 0.0.1
Blythe King
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:
FastSegmentation_0.0.1.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:c3cacb7c94. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 131 | ||
| source / vignettes | OK | 183 | ||
| linux-release-x86_64 | OK | 118 | ||
| wasm-release | OK | 128 |
Exports:criterion_1eliminate_small_areasgenerate_GP_Masksget_proportionmatrix_whichpredict_separable_GPseparable_GP_param_estthreshold_image
Dependencies:abindbase64encBiocGenericsbitopsbslibcachemclicurldigestEBImageevaluatefastmapfftwtoolsfontawesomefsgenericshighrhtmltoolshtmlwidgetsjpegjquerylibjsonliteknitrlatticelifecyclelocfitmagickmagrittrmemoisemimenloptrpngpracmaR6rappdirsRcppRcppEigenRCurlrlangrmarkdownRobustGaSPsasstifftinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Determining optimal threshold by criterion 1 | criterion_1 |
| Eliminating Noise and Small Foreign Object Masks from Cell Mask Matrix | eliminate_small_areas |
| Generate cell masks by fast Gaussian processes | generate_GP_Masks |
| Dynamically determine row and column proportions | get_proportion |
| Get coordinate information for matrices | matrix_which |
| Generating predictive mean from image matrix | predict_separable_GP |
| Estimate nugget and range parameters for predictive mean of an image matrix | separable_GP_param_est |
| Setting a threshold to create a binary image matrix | threshold_image |
