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Updated: May 23, 2025

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ResGloTBNet:一个可解释的深度残留网络,具有全球远程依赖性,用于液涂抹显微镜图像的结核查

Taocui Yan1, Yaqian Jin2, Shangqing Liu1

  • 1Medical Data Science Academy, College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China.

Medical engineering & physics
|March 8, 2025
PubMed
概括

这项研究介绍了ResGloTBNet,这是一个AI框架,用于从唾液图像中查结核病. 它比手工方法显著提高了准确度和灵敏度,有助于更快的诊断.

关键词:
激活最大化激活最大化梯度加权类激活映射 梯度加权类激活映射在ResGloRe模块中使用ResGloRe.唾液涂抹图片 唾液涂抹图片结核病是一种疾病.

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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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