Alzheimer's diagnosis using deep learning in segmenting and classifying 3D brain MR images.

Journal: The International journal of neuroscience
Published Date: Nov 4, 2020

Abstract

BACKGROUND AND OBJECTIVES: Dementia is one of the brain diseases with serious symptoms such as memory loss, and thinking problems. According to the World Alzheimer Report 2016, in the world, there are 47 million people having dementia and it can be 131 million by 2050. There is no standard method to diagnose dementia, and consequently unable to access the treatment effectively. Hence, the computational diagnosis of the disease from brain Magnetic Resonance Image (MRI) scans plays an important role in supporting the early diagnosis. Alzheimer's Disease (AD), a common type of Dementia, includes problems related to disorientation, mood swings, not managing self-care, and behavioral issues. In this article, we present a new computational method to diagnosis Alzheimer's disease from 3D brain MR images.

Authors

  • Tran Anh Tuan
    Faculty of Mathematics and Computer Science, University of Science, Vietnam National University, Ho Chi Minh City, Vietnam.
  • The Bao Pham
    Department of Computer Science, Sai Gon University, Ho Chi Minh City, Vietnam.
  • Jin Young Kim
    Department of Orthopaedic Surgery, Dongguk University Ilsan Hospital, Goyang, Korea.
  • João Manuel R S Tavares
    Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal.

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