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肺结节的分类在2-[18F]FDG PET/CT图像中使用3D卷积神经网络

Victor Manuel Alves1,2, Jaime Dos Santos Cardoso3,4, João Gama1,4

  • 1Faculty of Economics, University of Porto, Rua Dr. Roberto Frias, Porto, 4200-464 Porto, Portugal.

Nuclear medicine and molecular imaging
|January 23, 2024
PubMed
概括

使用3D卷积神经网络 (CNN) 的深度学习模型在2-[18F]FDG PET图像上有效地区分恶性和良性肺结节. 这种人工智能方法有望提高肺结节管理中的诊断准确性.

关键词:
2-[18F]FDG PET/CT PET/CT/CT PET/CT/CT PET/CT PET/CT/CT/CT 2FDG PET/CT/CT 2FDG PET/CT 2FDG 2FDG 2FDG 2FDG人工智能的人工智能是人工智能.卷积神经网络是一种卷积神经网络.定子发射断层扫描 (PET) 是一种定子发射断层扫描.肺部结节 在肺部结节.

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