BioImageDbs

DOI: 10.18129/B9.bioc.BioImageDbs  

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

Bioconductor version: Release (3.16)

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] , Kozo Nishida [aut]

Maintainer: Satoshi Kume <satoshi.kume.1984 at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("BioImageDbs")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BioImageDbs")

 

HTML	R Script	Providing Bioimage Dataset for ExperimentHub
HTML	R Script	The BioImageBbs Datasets
PDF		Reference Manual
Text		NEWS

Details

biocViews	CellCulture, ExperimentData, ExperimentHub, Tissue
Version	1.6.0
License	Artistic-2.0
Depends	R (>= 4.1.0)
Imports	ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum
LinkingTo
Suggests	knitr, BiocStyle, purrr
SystemRequirements
Enhances
URL	https://kumes.github.io/BioImageDbs/
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	BioImageDbs_1.6.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/BioImageDbs
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BioImageDbs
Package Short Url	https://bioconductor.org/packages/BioImageDbs/
Package Downloads Report	Download Stats