Library/torchio
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TorchIO-project/torchio

torchio

Medical imaging processing for AI applications.

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TorchIO-project

TorchIO-project

TorchIO-project • individual

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2,379

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Forks

260

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Activity Score

0/100

29 commits in 30d

Created

Nov 26, 2019

Project creation date

README Summary

TorchIO is a Python library designed for efficient loading, preprocessing, augmentation, and patch-based sampling of medical images in deep learning pipelines. It provides PyTorch-compatible transforms and data structures specifically tailored for 3D medical imaging data including MRI, CT, and PET scans. The library offers extensive data augmentation capabilities, batch processing, and seamless integration with PyTorch workflows.

AI Dev Skills

Unmapped

3D Medical Image ProcessingData AugmentationPatch-based SamplingMedical Image PreprocessingPyTorch IntegrationMedical AI Data PipelinesSpatial TransformationsIntensity NormalizationMedical Image I/O

Tags

3D Medical Image ProcessingData AugmentationPatch-based SamplingMedical Image PreprocessingPyTorch IntegrationMedical AI Data PipelinesSpatial TransformationsIntensity NormalizationMedical Image I/OMedical Image ClassificationMedical Imaging Data PreprocessingImageSpecialized Data ProcessingMedical TechnologyMedical AIDomain-specific AI ToolsSelf-hostedAnatomical Structure Analysis3D Medical Image SegmentationRadiological AI Model TrainingMulti-organ SegmentationMedical Image RegistrationHealthcareOn-premisePathology Detection in Medical ScansCloud API3DPython

Taxonomy

Recent Activity

Updated 25 days ago

7 Days

0

30 Days

29

90 Days

57

Quality

production
Quality
high
Maturity
production

Categories

MLOps & InfrastructurePrimaryIndustry: HealthcareML Platform & InfrastructureHealthcare & BiologyOther AI / MLModel TrainingComputer Vision

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Python100.0%

Timeline

Project created
Nov 26, 2019
Forked
Mar 23, 2026
Your last push
25 days ago
Upstream last push
7 days ago
Tracked since
Mar 20, 2026

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