Welcome to Radiuma Documentation

Radiuma - Visualized & Standardized Environment for Radiomics Analysis is a powerful workflow generator for standardized radiomics analysis and medical image visualization. It provides a free, open-source platform specialized for visualization, processing, segmentation, registration, fusion, and analysis of medical/biomedical images, including radiomics and machine learning capabilities.

Contents:

• Overview
• Key Features
• Visual Node-Based Workflow System
  • Creating Workflows
  • Multi-Tab Workflow Support
  • Tool Compatibility
  • Example Workflows
  • Workflow Controls
  • System Resource Management
  • Keyboard Shortcuts
• Image Viewer
  • View Types
  • File Support
  • Toolbar Functions
  • Detailed Functionality
    • Pan Tool
    • Image Information
    • Colormap Adjustment
    • Image Overlay
    • Breeding (Coming Soon)
    • Crosshair Navigation
    • Image Filtering
    • Contrast Adjustment
    • Distance Measurement
    • Segmentation Tools
    • Add Label
    • Eraser Tool
    • Volume Mask Toggle
• Image Reader
  • Key Parameters
  • How to Import Data
  • Supported Input Formats
  • Workflow Integration
• RT Struct Reader
  • Important Notes
  • Key Parameters
  • Functionality
  • Workflow Integration
• Table Reader
  • Reader Parameters
  • Supported Formats
• Image/Table Writer
  • Writer Parameters
  • Writer Parameters
  • Supported Formats
• Image Registration
  • Rigid Registration
  • Non-Rigid Registration
  • Simple Non-Rigid Registration
  • Workflow Integration
  • References
• Image Filter
  • Mean Filter
  • LoG (Laplacian of Gaussian) Filter
  • Laws Filter
  • Gabor Filter
  • Wavelet Filter
  • Common Parameters
  • Workflow Integration
• Image Fusion
  • Weighted Fusion
  • Wavelet Fusion
  • PCA Fusion
  • Workflow Integration
• Radiomic Feature Generator
  • Feature Types
  • Key Parameters
  • Available Feature Sets
  • Workflow Integration
  • Feature Output Example
• Classification
  • Overview
  • Data Import
  • Data Splitting
  • Imputation
  • Scaling
  • Dimention Reduction
  • Hyperparameter Tuning
  • Classifier Selection
  • Supported Algorithms
  • Evaluation Metrics
  • Classification Workflow
  • Classification Output
  • Classification Pipeline
• Regression
  • Overview
  • Data Import
  • Data Splitting
  • Imputation
  • Scaling
  • Dimention Reduction
  • Hyperparameter Tuning
  • Regressor Selection
  • Supported Algorithms
  • Evaluation Metrics
  • Regression Workflow
  • Regression Output
  • Regression Pipeline
• Clustering
  • Overview
  • Data Import
  • Data Splitting
  • Imputation
  • Scaling
  • Dimention Reduction
  • Hyperparameter Tuning
  • clustering Selection
  • Supported Algorithms
  • Clustering Evaluation Metrics
  • Clustering Workflow
  • Clustering Output
  • Clustering Pipeline
• Examples
  • Image Conversion
    • How It Works
    • Workflow Integration
  • RT Struct Processing
    • How It Works
    • Workflow Integration
  • Image Filtering
    • How It Works
    • Customizable Parameters
    • Workflow Integration
  • Image Fusion
    • How It Works
    • Workflow Integration
  • Image Registration for AutoPET
    • How It Works
    • Workflow Integration
  • PET/CT Registration and Fusion
    • How It Works
    • Workflow Integration
  • PET/CT Registration and Filtering
    • How It Works
    • Workflow Integration
  • Reading a DICOM Series
  • Radiomics and Classification
    • How It Works
    • Workflow Integration
  • Multi-Registration Regression Analysis
    • How It Works
    • Workflow Integration
  • Radiomics-Based Clustering
    • How It Works
    • Workflow Integration