[Accuracy of Classification of Cerebral Blood Flow Reduction Patterns Using Statistical Analysis Images Generated with Simulated SPECT Datasets via Deep Learning].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi
PMID: 34148900

Abstract

PURPOSE: The aim of this study was to evaluate the classification accuracy of specific blood flow reduction patterns in clinical images by deep learning using simulation data.

Authors

  • Hoshio Uwabe
    Department of Radiology, Shimane University Hospital.
  • Yasushi Yamamoto
    Department of Radiology, Shimane University Faculty of Medicine.
  • Nobuhiro Yada
    Department of Radiology, Shimane University Hospital.
  • Yuki Hino
    Department of Radiology, Shimane University Hospital.
  • Koya Yamane
    Department of Radiology, Shimane University Hospital.
  • Yoshinori Miyahara
    Department of Radiology, Shimane University Hospital.
  • Hajime Kitagaki
    Department of Radiology, Shimane University Faculty of Medicine.

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