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AI Development - Organ semantic segmentation

R&D

Computer vision

The main objective of the researcher's work is the creation of a framework for automatic neural network design based on the state-of-the-art NAS and DNAS methods (neural architecture search), able to create light and integrable networks for the semantic segmentation of different cystic lesions in abdominal CT scans. Moreover, it is requested the development of a statistical prediction model, that correlates the performed segmentation with key factors of the patient's clinical record to predict the cysts' evolution. READ MORE...

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