Classification of schizophrenia and normal controls using 3D convolutional neural network and outcome visualization.

Journal: Schizophrenia research
Published Date: Aug 6, 2019

Abstract

BACKGROUND: The recent deep learning-based studies on the classification of schizophrenia (SCZ) using MRI data rely on manual extraction of feature vector, which destroys the 3D structure of MRI data. In order to both identify SCZ and find relevant biomarkers, preserving the 3D structure in classification pipeline is critical.

Authors

  • Kanghan Oh
    Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Republic of Korea.
  • Woosung Kim
    Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju-si 54907, Republic of Korea; Department of Psychiatry, Chonbuk National University Medical School, Jeonju-si 54907, Republic of Korea.
  • Guangfan Shen
    Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju-si 54907, Republic of Korea; Department of Psychiatry, Chonbuk National University Medical School, Jeonju-si 54907, Republic of Korea.
  • Yanhong Piao
    Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju-si 54907, Republic of Korea; Department of Psychiatry, Chonbuk National University Medical School, Jeonju-si 54907, Republic of Korea.
  • Nam-In Kang
    Department of Psychiatry, Maeumsarang Hospital, Wanju, Jeollabuk-do, Republic of Korea.
  • Il-Seok Oh
    Division of Computer Science and Engineering, Chonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Republic of Korea.
  • Young Chul Chung
    Research Institute of Clinical Medicine of Chonbuk National University-Biomedical Research Institute of Chonbuk National University Hospital, Jeonju-si 54907, Republic of Korea; Department of Psychiatry, Chonbuk National University Medical School, Jeonju-si 54907, Republic of Korea. Electronic address: chungyc@jbnu.ac.kr.

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