Browsing by Author "Souza, Roberto Medeiros De"

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    Deep Learning for Domain-Invariant Magnetic Resonance Carotid Artery Wall Segmentation
    (2019-04-26) Danko, Anna M.; Frayne, Richard; Souza, Roberto Medeiros De; Rittner, Leticia; Zhang, Yunyan
    Segmentation of the carotid arteries is a prerequisite to image processing techniques that are applied to medical images to assess the features of atherosclerosis, a disease which can lead to ischemic stroke. Carotid artery segmentation is currently mainly done manually in a time-consuming processing. In this work deep learning approaches were applied to carotid artery segmentation. Additionally, the influence of image contrast on segmentation performance was explored, and whether a network could be taught to learn domain-invariant features including the use of adversarial methods. Non-adversarial and adversarial methods were successfully demonstrated.