Segmentation Model
Risk Prediction Model
Classification Model
MHub Container
DICOMNIFTINRRDMHA
RT-StructDICOM-SEGJSON Report

Making AI in Medical
Imaging Accessible
and Reproducible

MHub is a platform for Deep Learning models in medical imaging. We provide world-class models in a standardized and easy-to-execute format. And our MHub- IO framework makes integrating any AI model into MHub a snap.

Run AI models with a single line of code.

1 | Prepare your data

DICOM

DICOM

2 | Select your model

TotalSegmentator

Platipy

NNUnet Liver

docker run --rm -t --gpus all --network=none
-v /path/to/dicom:/app/data/input_data
-v /your/output/:/app/data/output_data
mhubai/totalsegmentator
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MHub runs all models on a dicom-to-dicom pipeline by default. Simply point to the folder where your dicom data is. Your data is in a different format? Check our documentation and discover the full flexibility of MHub.

MHub ♥ 3D Slicer.

MHub ♥ IDC.

Run all MHub models natively on data downloaded from IDC.