MONAI and monai-deploy-app-sdk

MONAI Deploy App SDK is a complementary framework built on top of MONAI that packages and operationalizes the deep learning models developed with MONAI's core toolkit for production healthcare imaging applications.

MONAI
84
Verified
monai-deploy-app-sdk
68
Established
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 24/25
Maintenance 10/25
Adoption 10/25
Maturity 25/25
Community 23/25
Stars: 7,927
Forks: 1,444
Downloads:
Commits (30d): 24
Language: Python
License: Apache-2.0
Stars: 125
Forks: 67
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
No risk flags
No risk flags

About MONAI

Project-MONAI/MONAI

AI Toolkit for Healthcare Imaging

This framework helps medical researchers and data scientists build and train deep learning models for healthcare imaging analysis. You can input various medical image datasets and develop models to output insights like disease detection or segmentation. It's designed for those working with medical image data who want to leverage AI for research or clinical applications.

medical-imaging radiology healthcare-AI clinical-research biomedical-engineering

About monai-deploy-app-sdk

Project-MONAI/monai-deploy-app-sdk

MONAI Deploy App SDK offers a framework and associated tools to design, develop and verify AI-driven applications in the healthcare imaging domain.

This tool helps AI developers and researchers in healthcare design, build, and test AI applications that analyze medical images. You can integrate various imaging AI models, including MONAI-based transformations, to process DICOM data and generate insights. The result is a packaged, portable application ready for deployment.

medical-imaging-AI healthcare-AI-development DICOM-processing medical-image-segmentation AI-application-packaging

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