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Image classification with MedNIST dataset
2D image classification demo
Training and evaluation code examples for 2D medical image segmentation
2D image segmentation with Unet
Training and evaluation code examples for 3D medical image classification
Brain MRI classification examples
Training and evaluation code examples for 3D medical image classification (with PyTorch Ignite)
Brain MRI classification examples with Ignite
Brain tumor 3D segmentation
Brats segmentation tutorial
Abdominal CT segmentation
Spleen segmentation tutorial
Abdominal CT segmentation (with PyTorch Lightning)
Spleen segmentation tutorial with Lightning
Training and evaluation code examples for 3D medical image segmentation
Volumetric image segmentation examples
Training and evaluation code examples for 3D medical image segmentation (with PyTorch Ignite)
Volumetric image segmentation examples with Ignite
Build a segmentation workflow (with PyTorch Ignite)
Segmentation workflow demo with Ignite
Build a segmentation workflow (with Catalyst framework)
Segmentation workflow demo with Catalyst
Training and evaluation code examples with Distributed Training supports
Distributed training examples
3D segmentation with Automatic Mixed Precision supports
Spleen segmentation tutorial with AMP supports
Accelerate model training by caching methods
Comparisons between different loading methods
Fast training under MONAI features
Fast training demo
Data-parallel training with multiple-GPUs
Multi-GPU training demo
GPU-based preprocessing in native PyTorch
GPU-based pipeline demo
3D segmentation on a federated learning platform, Substra
Federated training with Substra
Histology image transformation demo
2D transformation demo
Volumetric image transformation demo
3D transformation tutorial
Integrate 3rd party transforms
Integrate BatchGenerator, TorchIO, Rising and ITK transforms
Load medical images in MONAI
Tutorial for loading different formats of medical images in MONAI
GAN tutorial with MedNIST dataset
Generate medical images with GAN
GAN workflow with MedNIST dataset
Train a GAN model to reconstruct images of Hand CT scans
Models ensemble with MONAI
Models ensemble demo with MONAI
Read Nifti files with MONAI
Tutorial for loading Nifti files with MONAI
Post transforms tutorial
Post transforms demo for model output
Public Datasets tutorial
Easily use and create public Datasets
Train on Decathlon datasets with DynUNet
Tutorial for training on all 10 decathlon datasets with DynUNet
Training and evaluation code examples with MONAI engines
GAN and Image segmentation workflow examples with MONAI engines