Showing posts with label shiny. Show all posts
Showing posts with label shiny. Show all posts
Tuesday, September 22, 2026
Digital Image Analysis using R-Project-based EBImage, randomForest, DT, and bslib - A Web app (R-Project-Shiny-based)
This digital image analysis has been developed using R-Project (4.6.1), RStudio 2026.08.1 Build 195. It is made using packages, including shiny, EBImage, randomForest, DT, and bslib.
NOTE: Try to remain SLOW with the change in metrics using sliders as it may take large time to process the image. If it takes long, allow it to settle and start working after sometime. KEEP THE IMAGE BELOW 500 x 500 pixels.
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Allaire, J., Sievert, C., Dervieux, C., Xie, Y., McPherson, J., Allen, A., Wickham, H., Atkins, A., & Hyndman, R. (2024). bslib: Custom Bootstrap 'Sass' Themes for 'shiny' and 'rmarkdown' (R package version 0.8.0) [Computer software]. https://CRAN.R-project.org/package=bslib
Breiman, L., Cutler, A., Liaw, A., & Wiener, M. (2022). randomForest: Breiman and Cutler's Random Forests for Classification and Regression (R package version 4.7-1.1) [Computer software]. https://CRAN.R-project.org/package=randomForest
Chang, W., Cheng, J., Allaire, J., Sievert, C., Schloerke, B., Xie, Y., Allen, A., McPherson, J., Dipert, A., & Borges, B. (2024). shiny: Web Application Framework for R (R package version 1.9.1) [Computer software]. https://CRAN.R-project.org/package=shiny
Pau, G., Fuchs, F., Sklyar, O., Boutros, M., & Huber, W. (2010). EBImage—an R package for image processing with applications to cellular phenotypes. Bioinformatics, 26(7), 979–981. https://doi.org/10.1093/bioinformatics/btq046
Xie, Y., Cheng, J., & Tan, X. (2024). DT: A Wrapper of the JavaScript Library 'DataTables' (R package version 0.33) [Computer software]. https://CRAN.R-project.org/package=DT
Terms of Use and Disclaimer:
This tool is for educational purposes only. The author assumes no liability for inaccuracies or decisions made based on this output. No data is stored on our servers.
The Image Analysis Toolkit provided on this site is an open-source tool intended for exploratory image analysis. Users are encouraged to verify all results with primary software and experts before publication. The owner of JeePakistan.blogspot.com is not responsible for any research outcomes derived from this tool.
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NOTE: Uploaded on 22/09/2026
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