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Project-MONAI/MONAI

MONAI

AI Toolkit for Healthcare Imaging

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Project-MONAI

Project-MONAI

Project-MONAI • individual

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8,043

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Created

Oct 11, 2019

Project creation date

README Summary

MONAI is a PyTorch-based open-source framework specifically designed for deep learning in medical imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows, including specialized transforms, loss functions, and network architectures. The toolkit aims to accelerate research and clinical collaboration in medical AI by offering standardized, reproducible components for medical image analysis.

AI Dev Skills

Unmapped

Medical Image Segmentation3D Convolutional Neural NetworksMedical Image RegistrationComputer Vision for HealthcareDeep Learning for Medical ImagingTransfer Learning in Medical DomainMedical Image PreprocessingDomain-Specific Data AugmentationMulti-modal Medical ImagingFederated Learning for Healthcare

Tags

Medical Image Segmentation3D Convolutional Neural NetworksMedical Image RegistrationComputer Vision for HealthcareDeep Learning for Medical ImagingTransfer Learning in Medical DomainMedical Image PreprocessingDomain-Specific Data AugmentationMulti-modal Medical ImagingFederated Learning for HealthcareClinical Decision SupportSelf-hostedResearch InfrastructureMedical Research AccelerationDICOMFederated LearningCloudClinical ResearchRadiologyDisease Diagnosis from Medical ScansImageDomain-Specific AIHealthcare AIMedical ImagingHealthcare3DOrgan Detection and ClassificationAI for Scientific ResearchOn-premiseRadiological Analysis AutomationPython

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Recent Activity

Updated 24 days ago

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Quality

production
Quality
high
Maturity
production

Categories

Healthcare & BiologyPrimarySearch & KnowledgeOther AI / MLDev Tools & AutomationLearning ResourcesIndustry: HealthcareML Platform & InfrastructureComputer Vision

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created
Oct 11, 2019
Forked
Mar 23, 2026
Your last push
24 days ago
Upstream last push
9 days ago
Tracked since
Mar 20, 2026

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