A collection of deployment ready machine learning tools developed by CAAI. Each model is packaged in rh-node to enable easy deployment with docker.
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
Other tools, packaged in rh-node.
Overview of active nodes at Rigshospitalet/CAAI
Node name
Status
titan5
Up
titan6
Up
aims
Up
Node name
Status
caai1
Up
titan7
Up