Monai Data Augmentation

paired_transforms = monai.transforms.Compose([ monai.transforms.LoadImaged(keys=["image", "label"]), monai.transforms.EnsureChannelFirstd(keys=["image", "label"]), monai.transforms.ScaleIntensityd(keys=["image"]), monai.transforms.RandRotated(keys=["image", "label"], prob=0.5, range_x=0.2), monai.transforms.RandZoomd(keys=["image", "label"], prob=0.3, min_zoom=0.9, max_zoom=1.1), ])

MONAI provides a comprehensive set of data augmentation tools, specifically designed for medical imaging. The framework offers a range of transforms, including: monai data augmentation

Modify geometry while preserving anatomical plausibility. paired_transforms = monai

These transforms can be combined to create more complex augmentations, allowing users to generate a diverse range of synthetic images. monai data augmentation

# Train the model using the augmented dataset model = ... model.train(augmented_dataset)