Comparison of active learning algorithms in classifying head computed tomography reports using bidirectional encoder representations from transformers.

Journal: International journal of computer assisted radiology and surgery
PMID: 39777700

Abstract

PURPOSE: Systems equipped with natural language (NLP) processing can reduce missed radiological findings by physicians, but the annotation costs are burden in the development. This study aimed to compare the effects of active learning (AL) algorithms in NLP for estimating the significance of head computed tomography (CT) reports using bidirectional encoder representations from transformers (BERT).

Authors

  • Tomohiro Wataya
    Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan. wataya-osk@umin.ac.jp.
  • Azusa Miura
    Department of Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Takahisa Sakisuka
    Department of Diagnostic Imaging, Osaka General Medical Center, 3-1-56. Mandai Higashi, Sumiyoshi, Osaka, 558-8558, Japan.
  • Masahiro Fujiwara
    Department of Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Hisashi Tanaka
    Division of Health Science, Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Yu Hiraoka
    Department of Orthopedics Surgery, Chiba University, Chiba, Japan.
  • Junya Sato
    Faculty of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 5650871, Japan.
  • Miyuki Tomiyama
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Daiki Nishigaki
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Kosuke Kita
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Yuki Suzuki
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Shoji Kido
    Graduate School of Medicine, Yamaguchi University, Tokiwadai 2-16-1, Ube, Yamaguchi, 755-8611, Japan.
  • Noriyuki Tomiyama
    Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

Keywords

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