MHub
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About
MHub is a platform and repository dedicated to making deep learning models for medical imaging accessible and reproducible. It offers a curated collection of world-class AI models, sourced from scientific literature, packaged in a standardized, easy-to-execute format. MHub emphasizes reproducible science, providing models accompanied by peer-reviewed studies, detailed documentation, and tutorials to foster transparency and collaboration within the AI healthcare community. A core feature is the use of Docker containers, bundling models with all dependencies for a single-command setup, simplifying deployment. Furthermore, all MHub models share a standardized input/output interface, allowing users to prepare DICOM data once and use it across any model. MHub integrates with tools like 3D Slicer and supports native execution on IDC data, facilitating seamless integration into existing workflows. It's a community-driven initiative aimed at advancing medical AI research and application by providing robust, reproducible, and portable model implementations.
Platform
Features
• community-driven contributions
• repository of peer-reviewed, reproducible models
• integration with imaging data commons (idc)
• integration with 3d slicer
• standardized dicom-to-dicom input/output
• framework-agnostic ai pipelines
• easy-to-execute, single-line code model deployment via docker
• standardized deep learning models for medical imaging
Pricing Plans
Free
Free Plan• Access to deep learning models
• Standardized I/O framework
• Dockerized containers for easy setup
• Integration with 3D Slicer
• Integration with IDC
• Reproducible science models
Job Opportunities
There are currently no job postings for this AI tool.
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