Deep learning-based binary classification of beta-amyloid plaques using 18 F florapronol PET.

Journal: Nuclear medicine communications
PMID: 39350612

Abstract

PURPOSE: This study aimed to investigate a deep learning model to classify amyloid plaque deposition in the brain PET images of patients suspected of Alzheimer's disease.

Authors

  • Eui Jung An
    Department of Nuclear Medicine, Kyungpook National University Hospital.
  • Jin Beom Kim
    Department of Nuclear Medicine, Kyungpook National University Hospital.
  • Junik Son
    Department of Nuclear Medicine, Kyungpook National University Hospital.
  • Shin Young Jeong
    Department of Nuclear Medicine, School of Medicine, Kyungpook National University.
  • Sang-Woo Lee
    School of Computer Science and Engineering, Seoul National University, Seoul 08826, South Korea.
  • Byeong-Cheol Ahn
    Department of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, Daegu, South Korea.
  • Pan-Woo Ko
    Department of Neurology, Kyungpook National University Hospital.
  • Chae Moon Hong
    Department of Nuclear Medicine, Kyungpook National University Hospital.

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