Year: 2024
Type: conference-paper
Abstract: 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.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: Agence Nationale de la Recherche
OpenAlex ID: W4406631702