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BioImageDbs

Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub)

Bioconductor version: 3.23 · Package version: 1.20.0

The package provides a bioimage dataset for the image analysis using machine learning and deep learning. The dataset includes microscopy imaging data with supervised labels. The data is provided as R list data that can be loaded to Keras/tensorflow in R.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BioImageDbs")

Details

MaintainerSatoshi Kume <satoshi.kume.1984@gmail.com>
AuthorSatoshi Kume [aut, cre] (ORCID: <https://orcid.org/0000-0001-7481-2843>), Kozo Nishida [aut] (ORCID: <https://orcid.org/0000-0001-8501-7319>)
LicenseArtistic-2.0
URLhttps://kumes.github.io/BioImageDbs/
Downloads rank127
Source branchRELEASE_3_23
biocViewsCellCulture, ExperimentData, ExperimentHub, Tissue

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Dependencies

Depends: R (>= 4.1.0)

Imports: ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum

Suggests: knitr, BiocStyle, purrr