使X线

Shota Nakagawa1, Naoaki Ono1,2, Yukichika Hakamata3

  • 1Department of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, Japan.

PLOS digital health
|March 15, 2024
PubMed
概括

这项研究引入了一种深度学习模型,以客观量化医生对胸部X射线发现的评估,例如膜加厚和脊柱结石. 该模型准确地测量了诊断解释的变化,提高了医学图像分析的一致性.

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