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  • Home
  • User Documentation
  • About
  • More
    • Funding
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  • Getting Started
    • What's Fed-BioMed
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    • PyTorch
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      • PyTorch Used Cars Dataset Example
      • PyTorch aggregation methods in Fed-BioMed
      • Transfer-learning in Fed-BioMed tutorial
    • MONAI
      • Federated 2d image classification with MONAI
      • Federated 2d XRay registration with MONAI
    • Scikit-Learn
      • MNIST classification with Scikit-Learn Classifier (Perceptron)
      • Fed-BioMed to train a federated SGD regressor model
      • Implementing other Scikit Learn models for Federated Learning
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      • Advanced optimizers in Fed-BioMed
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      • General Concepts
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      • In Depth Experiment Configuration
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      • Using Differential Privacy with OPACUS on Fed-BioMed
      • Local and Central DP with Fed-BioMed: MONAI 2d image registration
      • Training Process with Training Plan Management
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      • End-to-end Privacy Preserving Training and Inference on Medical Data
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Fed-BioMed using MONAI: a step-by-step tutorial

MONAI is a PyTorch-based framework for deep learning in healthcare imaging.

  1. 2D Image Classification with MedNIST

  2. 2D Image Regression with MedNIST

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