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Inventi Impact: Biomedical Imaging

Articles

  • Inventi:ebmi/32637/20
    A Comprehensive Machine-Learning Model Applied to Magnetic Resonance Imaging (MRI) to Predict\nAlzheimerâ??s Disease (AD) in Older Subjects
    Research 2020 : October - December
    Gopi Battineni, Nalini Chintalapudi, Francesco Amenta, Enea Traini

    Increasing evidence suggests the utility of magnetic resonance imaging (MRI) as an\nimportant technique for the diagnosis of Alzheimerâ??s disease (AD) and for predicting the onset of this\nneurodegenerative disorder. In this study, we present a sophisticated machine learning (ML) model\nof great accuracy to diagnose the early stages of AD. A total of 373 MRI tests belonging to 150 subjects..........

    How to Cite this Article
    Attribution/ CC Compliant Citation: Battineni, Gopi, et al. \"A Comprehensive Machine-Learning Model Applied to Magnetic Resonance\nImaging (MRI) to Predict Alzheimer's Disease (AD) in Older Subjects.\" Journal of Clinical Medicine 9.7 (2020): 2146.\nhttps://doi.org/10.3390/jcm9072146\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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