CORDIS Project
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This project aims to develop a new framework for analyzing biomedical images to enhance disease screening and drug evaluation. It focuses on creating a modular, efficient system that utilizes machine learning to interpret complex anatomical and physiological data from various imaging modalities.
Recent hardware developments from the medical device manufacturers have made possible non-invasive/in-vivo acquisition of anatomical and physiological measurements.
One can cite numerous emerging modalities (e.g. PET, fMRI, DTI).
The nature (3D/multi-phase/vectorial) and the volume of this data make impossible in practice their interpretation from humans.
On the other hand, these modalities can be used for early screening, therapeutic strategies evaluation as well as evaluating bio-markers for d…
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