Landmark Reliability is an advanced web application designed for medical image landmarking, calibration, imputation, and graphical analysis. Developed using R and Shiny, this project facilitates precise point marking on medical images, accurate measurement of distances, and comprehensive data analysis.
Landmark Reliability utilizes the following tools and technologies:
- R: The core programming language for statistical analysis and application development.
- Shiny: A framework for building interactive web applications in R.
- JavaScript: For enhancing interactivity and functionality within the web application.
- HTML/CSS: For structuring and styling the web application's user interface.
- ggplot2: A package for creating static, high-quality graphics.
- shinyWidgets: Provides additional UI components and functionality for Shiny applications.
- plotly: Enables interactive graphical representations and plots.
- dplyr: Facilitates data manipulation and transformation.
- mice: Implements methods for handling missing data through imputation.
The application offers the following features:
- Interactive Landmarking: Users can precisely mark multiple points on medical images.
- Calibration: Includes a reference scale embedded in the images to convert pixel distances into real-world units, enhancing measurement accuracy.
- Data Management: Robust system for storing, managing, and exporting marked points and measurements, ensuring data integrity and user flexibility.
- Imputation: Advanced techniques to predict and fill in missing landmarks by analyzing and comparing user markings.
- Graphical Outputs: Comprehensive visualizations of marked points, measured distances, and other analytical results to support detailed data interpretation and reporting.
To set up the project on a UNIX-based system, follow these steps:
Clone the project repository to your local machine using the following command:
git clone https://github.com/MustafaCanInce/shinyRscript runShinyApp.R
The runShinyApp.R script performs the following tasks:
- Checks and installs any missing R packages required for the application.
- Sets the working directory to the directory containing runShinyApp.R.
- Sources the ui.R and server.R files.
- Launches the Shiny application.
Once the application is running, you can access it through your web browser. Use the interface to upload images, mark landmarks, calibrate measurements, and view graphical outputs.
Contributions are welcome. To contribute:
Fork the repository. Create a new branch for your feature or bug fix. Commit your changes and push them to your branch. Open a pull request with a description of your changes. For any issues or inquiries, please use the GitHub Issues page.