Installation
Installing Radiomics.jl is straightforward and can be done directly from the Julia package manager. Simply run the following commands in your Julia REPL:
import Pkg
Pkg.add("Radiomics")Alternatively, you can use the Julia package mode by pressing ] in the REPL:
julia> ]Then, execute the following command to add Radiomics.jl to your environment:
pkg> add RadiomicsMulti threading
Radiomics.jl can be run in multi-threading mode (highly recommended to speed up the computation).
To do this, you can define and set the following environment variable: JULIA_NUM_THREADS=auto
On a Linux system, the .bashrc file can be edited by adding the line:
export JULIA_NUM_THREADS=autoSupported Platforms
Radiomics.jl can be installed and used on multiple platforms:
Local Machine
Install on your desktop or laptop running Windows, macOS, or Linux
Cloud Environments
Deploy on Google Colab, JuliaHub, or other cloud-based Julia kernels
HPC Clusters
Scale your radiomics analysis on high-performance computing systems
Requirements
System Requirements
- Julia 1.10 or higher (latest stable version recommended)
- Sufficient RAM for processing medical imaging data (minimum 4GB, 8GB+ recommended)
- Compatible with Windows, macOS, and Linux operating systems
Next Steps
After installation, explore the documentation to learn about the different feature extraction methods available. Start with the Quick Start Example on the home page to see Radiomics.jl in action.
For detailed information about specific feature types, navigate to the corresponding pages using the sidebar menu. Each feature page provides comprehensive descriptions, mathematical formulas, and usage examples.