Osteoporosis screening support system from panoramic radiographs using deep learning by convolutional neural network.

Journal: Dento maxillo facial radiology
PMID: 35816516

Abstract

OBJECTIVES: This study was performed to develop computer-aided screening systems that could predict osteoporosis. The systems were constructed using panoramic radiographs of women aged ≥ 50 years through three types of deep convolutional neural networks (CNNs): Alexnet, VGG-16, and GoogLeNet; the performances of the constructed systems were evaluated.

Authors

  • Takashi Nakamoto
    Department of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, 734-8553, Japan.
  • Akira Taguchi
    Department of Oral and Maxillofacial Radiology, School of Dentistry, Matsumoto Dental University, 1780 Hirooka Gobara, Shiojiri, Nagano, 399-0781, Japan.
  • Naoya Kakimoto
    Department of Oral and Maxillofacial Radiology, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

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