AWESOMME: A Web-Based Medical Imaging Processing Platform for Multiple Use Cases
Access to state-of-art algorithms in the field of medical imaging is often difficult in hospital environments with a limited adaptation capability. Addressing these challenges, the AWESOMME platform has been developed as a secure compre-hensive web-based toolbox for analyzing medical images, serving clinical, and research purposes while allowing action traceability. New developments have been made to offer improvements for administrators, through a new deployment system, and users with three additional application cases. Each case has a dedicated and independent viewer mode with tailored functionalities: the initial Awesomme Workflow (from segmentation to treatment prediction for osteosarcoma analysis), Prepanext for education on annotations, Score for post-stroke assessment, and HERESP for MRI reconstruction and heterogeneity assessment. It stands as a unique open-source web platform, providing several complete analysis pipelines and enabling a comparison feature, unprece-dented in existing solutions.
Authors
- Tiphaine Diot (ORCID: https://orcid.org/0000-0003-1506-8609)
- Olivier Beuf (ORCID: https://orcid.org/0000-0002-4516-4565)
- Frédéric Cervenansky (ORCID: https://orcid.org/0000-0002-7817-1198)
- Frank Pilleul
- Benjamin Leporq (ORCID: https://orcid.org/0000-0002-3408-4156)
- Luc Billaud (ORCID: https://orcid.org/0009-0009-0870-7346)
Institutions
- Université Claude Bernard Lyon 1 (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Centre Léon Bérard (FR)
- Chimie et Biologie des Membranes et des Nanoobjects (FR)
- Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (FR)
- Département d'Informatique (FR)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/healthcom60970.2024.10880772
- Primary Topic
- Digital Radiography and Breast Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agence Nationale de la Recherche