Radiuma
Medical Image Analysis Platform
Radiuma is a medical image analysis platform that streamlines imaging workflows by supporting independent tools and libraries for processing, analysis, and reproducible pipelines.
Products
Radiuma is a medical image analysis platform that brings together specialized tools and libraries for IBSI-compliant radiomics, deep radiomics, IBSI-standardized image filtering, IBSI-standardized SUV correction, metrics analysis, and reproducible workflow generation.
Radiuma
An open-source platform for standardized radiomics analysis, medical image visualization, and machine learning workflows.
ExplorePySERA
PySERA (Python‑based Standardized Extraction for Radiomics Analysis) is a comprehensive Python library and standalone radiomics engine supporting IBSI‑standardized handcrafted features (557 total) and deep learning features (ResNet50, VGG16, DenseNet121). With a single‑function API, automatic multip
Explore
AllMetrics
AllMetrics is an open‑source Python library designed to standardize machine learning metric evaluation. It provides consistent metric implementations, robust data validation, and a modular API supporting regression, classification, clustering, segmentation, and image‑to‑image translation tasks.
ExploreSupporters
We gratefully acknowledge funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) Idea to Innovation (I2I) Grant GR034192 for supporting the Radiuma and PySERA products.
Qurit Lab
Quantitative Radiomolecular Imaging and Therapy (Qurit) Lab, University of British Columbia, Vancouver, BC, Canada.
BC Cancer Research Institute
Department of Basic and Translational Research, Vancouver, BC, Canada.
Tecvico Corp
Technological Virtual Collaboration Corporation, Vancouver, BC, Canada.
University of British Columbia
Vancouver, BC, Canada.
ViCollab Group
Virtual Collaboration Labratory