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
| Maintainer | Satoshi Kume <satoshi.kume.1984@gmail.com> |
| Author | Satoshi Kume [aut, cre] (ORCID: <https://orcid.org/0000-0001-7481-2843>), Kozo Nishida [aut] (ORCID: <https://orcid.org/0000-0001-8501-7319>) |
| License | Artistic-2.0 |
| URL | https://kumes.github.io/BioImageDbs/ |
| Downloads rank | 127 |
| Source branch | RELEASE_3_23 |
| biocViews | CellCulture, ExperimentData, ExperimentHub, Tissue |
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Dependencies
Depends: R (>= 4.1.0)
Imports: ExperimentHub, AnnotationHub, markdown, rmarkdown, EBImage, magick, magrittr, filesstrings, animation, einsum