TorchIO-project/torchio

Health v2 · maintenance only

Adoption not part of the score

2439 stars · 275 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TorchIO is a Python library for loading, augmenting, and processing 3D medical images (MRI, CT) within PyTorch deep learning pipelines. It provides medical-image-specific transforms, samplers, and dataset utilities for training AI models.

Use cases

• augment 3D MRI scans for training a segmentation network
• load NIfTI medical images into PyTorch datasets
• train a deep learning model on CT volumes
• apply spatial and intensity transforms to medical images
• preprocess medical imaging data for AI research

When to choose

• you are doing deep learning on 3D medical images with PyTorch
• you need medical-specific augmentation like random bias field or elastic deformation
• you want efficient patch-based sampling of large volumetric scans

When to avoid

• you work with 2D natural images rather than volumetric medical data
• you use TensorFlow or another framework instead of PyTorch
• you only need general-purpose image viewing or DICOM conversion without training

Facets

library · maturity active

image-processing machine-learning deep-learning data-generation machine-learning deep-learning healthcare image-processing python cross-platform pytorch medical-imaging data-augmentation mri ct nifti 3d-images gpu

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markdown · JSON · MCP: product_card(name="TorchIO-project/torchio")