RnD
- Criteria for acquired images quality evaluation
- Development of AI based expert system that will apply deep learning techniques to deduce a confident result
- Formalized evaluation framework has been incorporated, capable of incorporating qualitative criteria based on biometrics and or other factors, in order to optimize the needed iterations and provide a trusted evaluation of the reconstruction quality.
- New perspectives are created by using a global cloud service that could serve as an online quality evaluation metric for medical images scanners and other similar systems.
Knowledge Management
Medical Applications
Medical Imaging and BigData
Decision Making
Metrics Aggregation with Fuzzy Inference Engine
Ongoing effort and future developments
- Due to the nature of the effort required, a global collaborative effort from multiple teams would be ideal in order to build a valuable shareable knowledge, combined with the feedback of acceptance/assessment of medicine physicians that will allow for immediate quality evaluation of medical machines
- Collaborative community: bright perspectives for a shared knowledge community and associated services in a DaaS approach