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new approach based on physically inspired hybrid machine learning models for generating artificial data using generative models. The result will be high-fidelity medical data. 3. BRIEF PRESENTATION
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of this project is to create a radiomics and radiogenomics based approach to describe and create predictive models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK
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the integrity and temporal consistency of the data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Study and understanding of the base model of a DPP; - Study and understand the existing API
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qualitative characterization. The objective of this project is to create a feature-based approach to describe and create predictive models to characterize cancer. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND