See our website : medomicslab.com
Please note: Organization name on GitHub is in transition from MEDomics-UdeS to MEDomicsLab
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- MEDiml-app Public
MEDiml is a user-friendly application that enables the extraction of radiomics features from medical images, integrating advanced machine learning models to enhance medical research.
MEDomicsLab/MEDiml-app’s past year of commit activity - MEDimage-app-docs Public
MEDomicsLab/MEDimage-app-docs’s past year of commit activity - HAIM_PoC_MEDomics Public
Extension of the HAIM framework with flexible source selection and float32 compression, validated on Enlarged Cardiomediastinum and Consolidation tasks using MIMIC data, as part of the MEDomics proof of concept.
MEDomicsLab/HAIM_PoC_MEDomics’s past year of commit activity - MEDomics_PoC3 Public
Extension of the MEDomics proof of concept: benchmarking centralized and federated MLP models for in-hospital mortality prediction across MIMIC-IV and 9 eICU hospitals using the MEDomics platform and MEDfl.
MEDomicsLab/MEDomics_PoC3’s past year of commit activity - MEDiml Public
Python Open-source package for medical images processing and radiomics features extraction.
MEDomicsLab/MEDiml’s past year of commit activity - MEDomics Public
MEDomicsLab/MEDomics’s past year of commit activity - MEDomics-UdeS-website Public
MEDomicsLab/MEDomics-UdeS-website’s past year of commit activity
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