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肺结核胸部X射线图像检索系统使用基于深度学习的生物标志物预测

Bradley C Lowekamp1, Andrei Gabrielian1, Darrell E Hurt1

  • 1Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, Bethesda, MD 20892, USA.

Proceedings of SPIE--the International Society for Optical Engineering
|April 15, 2024
PubMed
概括

结核病 (TB) 是导致死亡的主要原因,抗药性病例不断增加. 一个新的胸部X射线检索系统通过发现类似的病例和对抗药性结核病的治疗来帮助精准医学.

关键词:
胸部X射线 胸部X射线基于内容的图像检索.深度学习是一种深度学习.可以解释的生物标志物.精准医学是一门精准医学.结核病是一种肺结核病.

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