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通过稳定的政策优化和切割的目标,在胸部放射图中推进自动肺结核检测

Anup Gade1, Amol Bhoite2, Bharati P Vasgi3

  • 1Department of Information Technology, Tulsiramji Gaikwad Patil College of Engineering & Technology, Nagpur, Maharashtra, India.

The Indian journal of tuberculosis
|December 16, 2025
PubMed
概括

这项研究引入了剪切的近接政策优化 (PPO),以改善从胸部X射线自动检测结核病. 这种新的强化学习方法在不平衡的数据集中提高了诊断准确性和效率.

关键词:
胸部X射线的分类.剪切的目标 PPO PPO.具有成本敏感性的学习.错误分类的处罚 错误分类的处罚政策优化 政策优化结核病检测检测的方法

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Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
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