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Updated: Jul 24, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
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在胸部X射线上检测结核病的机器和深度学习:系统文献综述

Seng Hansun1,2, Ahmadreza Argha3,4,5, Siaw-Teng Liaw6

  • 1South West Sydney (SWS), School of Clinical Medicine, University of New South Wales, Sydney, Australia.

Journal of medical Internet research
|July 3, 2023
PubMed
概括

包括机器学习 (ML) 和深度学习 (DL) 在内的人工智能显示出在胸部X射线 (CXR) 上检测结核病 (TB) 的高潜力. 进一步的研究应侧重于改善偏差评估风险,以获得更可靠的诊断准确性.

关键词:
普里斯马的指导方针是什么这就是QUADAS-2.胸部X射线 胸部X射线卷积神经网络是一种卷积神经网络.诊断测试的准确性 诊断测试的准确性机器学习和深度学习.偏见的风险 偏见的风险灵敏度和特异性 灵敏度和特异性系统的文献审查 系统的文献审查结核病检测 结核病检测

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