This is the development version of BioImageDbs; for the stable release version, see BioImageDbs.
Bio- and biomedical imaging dataset for machine learning and deep learning (for ExperimentHub)Bioconductor version: Development (3.22)
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.
Author: Satoshi Kume [aut, cre] ORCID: 0000-0001-7481-2843 , Kozo Nishida [aut] ORCID: 0000-0001-8501-7319
Maintainer: Satoshi Kume <satoshi.kume.1984 at gmail.com>
Citation (from within R, entercitation("BioImageDbs")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("BioImageDbs")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BioImageDbs")
Details biocViews CellCulture, ExperimentData, ExperimentHub, Tissue Version 1.17.0 License Artistic-2.0 Depends R (>= 4.1.0) Imports ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum System Requirements URL https://kumes.github.io/BioImageDbs/ See More Package Archives
Follow Installation instructions to use this package in your R session.
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