• PAI Introduction
  • PAI Purpose
  • PAI Overview
  • Architectures included in Distribution
    • Support Vector Machine (SVM)
    • uNET
• Installation of PAI Infrastructure
  • Windows
    • Python and TensorFlow Installation
    • R Installation
      • Default R Configuration
      • Minimal R Configuration
    • Selection of Python installation
  • MacOS
    • Python and TensorFlow Installation
    • R Installation
      • Default R Configuration
      • Minimal R Configuration
    • Selection of Python installation
  • Linux Platforms
    • R Installation
    • Python and TensorFlow Installation
• Preparation of Training Data and Neural Network
  • Data Preparation
  • Control Mechanism
  • Learning Sets
• Training of Neural Network
  • Exporting an R workspace
• Use of Trained Neural Network for Prediction
• Case Studies - Application of PAI
  • Rat Brain Dopaminergic PET
    • Sample Preparation
    • Training and Validation
  • Brain Tumor Segmentation - MICCAI Challenge
    • Sample Preparation
    • Training and Validation
  • Mouse Bone Trabecular Segmentation
    • Sample Preparation
    • Training and Validation
  • Mouse & Human Cardiac MR Cine Left Ventricle Segmentation
    • Sample Preparation
    • Training and Validation
  • Human Deep Nuclei Segmentation
    • Sample Preparation
    • Training and Validation
  • Human Amyloid PET Classification
    • Sample Preparation
    • Training and Validation
• PMOD Disclaimer
• PMOD Copyright Notice