Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs.

Journal: Computer methods and programs in biomedicine
Published Date: Sep 5, 2019

Abstract

BACKGROUND AND OBJECTIVE: Patients with migraine show an increased presence of white matter hyperintensities (WMHs), especially deep WMHs. Segmentation of small, deep WMHs is a critical issue in managing migraine care. Here, we aim to develop a novel approach to segmenting deep WMHs using deep neural networks based on the U-Net.

Authors

  • Jisu Hong
    Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea.
  • Bo-Yong Park
    Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, South Korea; Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon 16419, South Korea.
  • Mi Ji Lee
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea.
  • Chin-Sang Chung
    Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, South Korea.
  • Jihoon Cha
    Department of Radiology Yonsei University Medical Center Yonsei University College of Medicine Seoul Republic of Korea.
  • Hyunjin Park
    Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.

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