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MHub

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About

MHub is a platform dedicated to making AI in medical imaging accessible and reproducible. It serves as a comprehensive repository of self-contained deep learning models specifically designed for various applications in the medical and medical imaging domain. The platform provides world-class models in a standardized, easy-to-execute format, leveraging its MHub-IO framework for seamless model integration. Researchers can run AI models with a single line of code via Dockerized containers, which include all system dependencies and model weights, ensuring instant setup and security. MHub emphasizes reproducible science, offering framework-agnostic AI pipelines that work out of the box and are often accompanied by peer-reviewed studies. It supports DICOM data natively and integrates seamlessly with tools like 3D Slicer and the Imaging Data Commons (IDC), allowing users to run models on downloaded data. The platform ensures standardized input and output data across all its models, automatically handling necessary conversions.

Platform

Task

model deployment

Features

• integration with 3d slicer

• community-driven repository of deep learning models

• native execution on data from imaging data commons (idc)

• support for dicom data

• run ai models with a single line of code using docker

• mhub-io framework for ai model integration

• standardized and easy-to-execute model format

• platform for deep learning models in medical imaging

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