PET編 6. PET分野における臨床応用された人工知能の概要
Author:
Affiliation:
1. Department of Radiological Technology, International University of Health and Welfare Narita Hospital
Publisher
Japanese Society of Radiological Technology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjrt/79/6/79_2023-2212/_pdf
Reference20 articles.
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2. 2) Yoshida A, Higashiyama S, Kawabe J. Clinical trial of a new BSI analysis software for 99mTc-HMDP JCH. Jpn Arch Cases Conf Clin Nucl Med 2019; 1: 28–34.
3. 3) Nakajima K, Matsuo S, Wakabayashi H, et al. Diagnostic performance of artificial neural network for detecting ischemia in myocardial perfusion imaging. Circ J 2015; 79(7): 1549–1556.
4. 4) Matsubara K, Ibaraki M, Nemoto M, et al. A review on AI in PET imaging. Ann Nucl Med 2022; 36(2): 133–143.
5. 5) Tsuchiya J, Yokoyama K,Yamagiwa K, et al. Deep learning-based image quality improvement of 18F-fluorodeoxyglucose positron emission tomography: a retrospective observational study. EJNMMI Phys 2021; 8(1): 31.
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