Getting Started

Get started with Radiomics.jl

Quick 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 Radiomics

Supported 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

Getting Started

Available Functions

Once installed, you can immediately start using Radiomics.jl's comprehensive feature extraction functions:

  • extract_radiomic_features() - Extract all features at once
  • get_first_order_features() - First-order statistical features
  • get_shape2d_features() - 2D shape descriptors
  • get_shape3d_features() - 3D shape descriptors
  • get_glcm_features() - Gray Level Co-occurrence Matrix features
  • get_gldm_features() - Gray Level Dependence Matrix features
  • get_glrlm_features() - Gray Level Run Length Matrix features
  • get_glszm_features() - Gray Level Size Zone Matrix features
  • get_ngtdm_features() - Neighboring Gray Tone Difference Matrix features

Requirements

System Requirements

  • Julia 1.6 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.