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A collection of deployment ready machine learning tools developed by CAAI. Each model is packaged in rh-node to enable easy deployment with docker

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rh-library

A collection of deployment ready machine learning tools developed by CAAI. Each model is packaged in rh-node to enable easy deployment with docker.

CAAI nodes

Tools developed by members of CAAI, packaged in rh-node.

node dicom description dependencies project
zerodose link FDG anomaly detection hdbet https://github.com/CAAI/zerodose
hdctbet CT brain extraction https://github.com/CAAI/HD-CTBET
amyloidai Amyloid status estimation hdbet, hdctbet https://github.com/CAAI/amyloidAI
aims MS lesions segmentation hdbet, flirt, reorient2std https://github.com/CAAI/AIMS
brainpetnr PET denoising for PE2I and PiB hdctbet, flirt, fslmaths, convertXFM https://github.com/CAAI/brainPETNR
pe2idenoiser PET denoising for Vision and Quadra PE2I hdctbet, flirt, fslmaths, convertXFM https://github.com/CAAI/PE2I_denoiser
public_glio Glioma segmentation from MRI hdbet, flirt, reorient2std, convertXFM https://github.com/DEPICT-RH/public_glio

General purpose nodes

Other tools, packaged in rh-node.

node description dependencies project
hdbet MRI brain extraction https://github.com/MIC-DKFZ/HD-BET
reorient2std (FSL) Reorient to standard orientation https://fsl.fmrib.ox.ac.uk/fsl
flirt (FSL) Registration and resampling https://fsl.fmrib.ox.ac.uk/fsl
convertxfm (FSL) Modify XFM files https://fsl.fmrib.ox.ac.uk/fsl
fslmaths (FSL) Simple maths operations on nii files https://fsl.fmrib.ox.ac.uk/fsl

Overview of active nodes at Rigshospitalet/CAAI

Research (port 9030)

Node name Status
titan5 Up
titan6 Up
aims Up

Production (port 9040)

Node name Status
caai1 Up
titan7 Up

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A collection of deployment ready machine learning tools developed by CAAI. Each model is packaged in rh-node to enable easy deployment with docker

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