Vers un patient numérique personnalisé pour le diagnostic et la thérapie guidés par l'image [Towards a personalized digital patient for diagnosis and therapy guided by image].
Abstract
Recent advances in computer science and medical imaging allow the design of new computational models of the patient which are used to assist physicians. These models, whose parameters are optimized to fit in vivo acquired images, from cells to an entire body, are designed to better quantify the observations (computer aided diagnosis), to simulate the evolution of a pathology (computer aided prognosis), to plan and simulate an intervention to optimize its effects (computer aided therapy), therefore addressing some of the major challenges of medicine of 21(st) century.
Origin : Publisher files allowed on an open archive
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